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Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Intelligent Fault Diagnosis and Prognosis for Engineering Systems
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THE APPLICATION OF PSEUDO-PHASE PORTRAIT IN MACHINE CONDITION MONITORING
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USING THE CORRELATION DIMENSION FOR VIBRATION FAULT DIAGNOSIS OF ROLLING ELEMENT BEARINGS—II. SELECTION OF EXPERIMENTAL PARAMETERS
inferredcites →https://doi.org/10.1006/mssp.1999.1255openalex-snapshot
FAULT DIAGNOSIS OF ROTATING MACHINERY THROUGH VISUALISATION OF SOUND SIGNALS
inferredcites →https://doi.org/10.1006/mssp.2000.1309openalex-snapshot
CONDITION-BASED MAINTENANCE OF MACHINES USING HIDDEN MARKOV MODELS
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VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL
inferredcites →https://doi.org/10.1006/mssp.2000.1359openalex-snapshot
THE DIRECTIONAL CHOI–WILLIAMS DISTRIBUTION FOR THE ANALYSIS OF ROTOR-VIBRATION SIGNALS
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CYCLOSTATIONARY APPROACH AND BILINEAR APPROACH: COMPARISON, APPLICATIONS TO EARLY DIAGNOSIS FOR HELICOPTER GEARBOX AND CLASSIFICATION METHOD BASED ON HOCS
inferredcites →https://doi.org/10.1006/mssp.2001.1435openalex-snapshot
DETECTION OF GEAR FAILURES VIA VIBRATION AND ACOUSTIC SIGNALS USING WAVELET TRANSFORM
inferredcites →https://doi.org/10.1006/mssp.2001.1469openalex-snapshot
THIRD-ORDER SPECTRAL TECHNIQUES FOR THE DIAGNOSIS OF MOTOR BEARING CONDITION USING ARTIFICIAL NEURAL NETWORKS
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ISO Standards for Condition Monitoring
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Engine Fault Diagnosis using DTW, MFCC and FFT
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Chaotic motions and fault detection in a cracked rotor
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Application of the blind source separation method to feature extraction of machine sound signals
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Machine fault diagnosis using a cluster-based wavelet feature extraction and probabilistic neural networks
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Design of multisensor fusion-based tool condition monitoring system in end milling
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Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review
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One-class support vector machines—an application in machine fault detection and classification
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Mechanical equipment fault diagnosis based on redundant second generation wavelet packet transform
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An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network
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A multidimensional hybrid intelligent method for gear fault diagnosis
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Application of mother wavelet functions for automatic gear and bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.eswa.2010.07.119openalex-snapshot
Fault diagnosis of ball bearings using machine learning methods
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Fault recognition method for speed-up and speed-down process of rotating machinery based on independent component analysis and Factorial Hidden Markov Model
inferredcites →https://doi.org/10.1016/j.jsv.2007.01.006openalex-snapshot
Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms
inferredcites →https://doi.org/10.1016/j.jsv.2008.02.051openalex-snapshot
Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
inferredcites →https://doi.org/10.1016/j.jsv.2009.02.013openalex-snapshot
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Gearbox vibration monitoring using extended Kalman filters and hypothesis tests
inferredcites →https://doi.org/10.1016/j.jsv.2009.11.010openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jsv.2010.07.001openalex-snapshot
ARX model-based gearbox fault detection and localization under varying load conditions
inferredcites →https://doi.org/10.1016/j.jsv.2010.11.019openalex-snapshot
Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization
inferredcites →https://doi.org/10.1016/j.measurement.2010.08.003openalex-snapshot
Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis
inferredcites →https://doi.org/10.1016/j.ndteint.2005.02.007openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.triboint.2008.06.013openalex-snapshot
Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2003.09.004openalex-snapshot
An approach to fault diagnosis of vacuum cleaner motors based on sound analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2004.01.001openalex-snapshot
Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery
inferredcites →https://doi.org/10.1016/j.ymssp.2004.01.006openalex-snapshot
A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing
inferredcites →https://doi.org/10.1016/j.ymssp.2004.09.002openalex-snapshot
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
inferredcites →https://doi.org/10.1016/j.ymssp.2004.12.004openalex-snapshot
Adaptive modelling of transient vibration signals
inferredcites →https://doi.org/10.1016/j.ymssp.2005.06.001openalex-snapshot
Gearbox fault diagnosis using adaptive redundant Lifting Scheme
inferredcites →https://doi.org/10.1016/j.ymssp.2005.09.012openalex-snapshot
A review on machinery diagnostics and prognostics implementing condition-based maintenance
inferredcites →https://doi.org/10.1016/j.ymssp.2005.10.005openalex-snapshot
The application of energy operator demodulation approach based on EMD in machinery fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2005.12.005openalex-snapshot
Singularity analysis of the vibration signals by means of wavelet modulus maximal method
inferredcites →https://doi.org/10.1016/j.ymssp.2006.01.007openalex-snapshot
Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble
inferredcites →https://doi.org/10.1016/j.ymssp.2006.02.009openalex-snapshot
Approximate Entropy as a diagnostic tool for machine health monitoring
inferredcites →https://doi.org/10.1016/j.ymssp.2006.05.004openalex-snapshot
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing
inferredcites →https://doi.org/10.1016/j.ymssp.2006.10.005openalex-snapshot
Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
inferredcites →https://doi.org/10.1016/j.ymssp.2007.07.013openalex-snapshot
New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
inferredcites →https://doi.org/10.1016/j.ymssp.2008.01.014openalex-snapshot
Research on iterated Hilbert transform and its application in mechanical fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2008.05.011openalex-snapshot
Robust bearing performance degradation assessment method based on improved wavelet packet–support vector data description
inferredcites →https://doi.org/10.1016/j.ymssp.2008.07.019openalex-snapshot
Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
inferredcites →https://doi.org/10.1016/j.ymssp.2008.10.006openalex-snapshot
An integrated classifier for gear system monitoring
inferredcites →https://doi.org/10.1016/j.ymssp.2008.11.005openalex-snapshot
Application of the EEMD method to rotor fault diagnosis of rotating machinery
inferredcites →https://doi.org/10.1016/j.ymssp.2009.05.001openalex-snapshot
Multiple manifolds analysis and its application to fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2009.06.015openalex-snapshot
Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform
inferredcites →https://doi.org/10.1016/j.ymssp.2009.07.003openalex-snapshot
The envelope order spectrum based on generalized demodulation time–frequency analysis and its application to gear fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2010.01.008openalex-snapshot
Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump
inferredcites →https://doi.org/10.1016/s0019-0578(00)00019-7openalex-snapshot
The development of reactor coolant pump vibration monitoring and a diagnostic system in the nuclear power plant
inferredcites →https://doi.org/10.1016/s0022-460x(03)00317-1openalex-snapshot
The experimental study of the expert system for diagnosing unbalances by ANN and acoustic signals
inferredcites →https://doi.org/10.1016/s0022-460x(03)00380-8openalex-snapshot
Application of KS test in ball bearing fault diagnosis
inferredcites →https://doi.org/10.1016/s0301-679x(99)00077-8openalex-snapshot
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
inferredcites →https://doi.org/10.1023/a:1012985802317openalex-snapshot
Fault Identification in Rotating Machinery Using the Correlation Dimension and Bispectra
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A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis
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Mechanical fault diagnosis using wireless sensor networks and a two-stage neural network classifier
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Diagnosis Method Based on Skewness Wave and Information Divergence for a Diesel Engine
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Fault diagnosis of gear box based on information entropy
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Feature Extraction Method in Fault Diagnosis Based on Wavelet Fuzzy Network for Power System Rotating Machinery
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An approach for fault diagnosis of bearings using wavelet-based fractal analysis
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Machine diagnosis with independent component analysis and envelope analysis
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Fault diagnosis and condition monitoring of electrical machines - A Review
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Application of Bi-cepstrum Analysis to Gear Fault Detection and Diagnosis
inferredcites →https://doi.org/10.1109/icmtma.2009.421openalex-snapshot
Bearing Faults Diagnosis Based on Teager Energy Operator Demodulation Technique
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Combination Diagnosis Based on Genetic Algorithm for Rotating Machinery
inferredcites →https://doi.org/10.1109/icsmc.2006.384397openalex-snapshot
Faults Detection Using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis
inferredcites →https://doi.org/10.1109/melcon.2004.1346836openalex-snapshot
Machine and industrial monitorization system by analysis of acoustic signatures
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A framework for systematic benchmarking of monitoring and diagnostic systems
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Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
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An Intelligent System for Machinery Condition Monitoring
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
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Click-event sound detection in automotive industry using machine/deep learning
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A health evaluation method of multicopters modeled by Stochastic Hybrid System
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Noise and vibrations in machine tools
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Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree
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Vibration-based monitoring of agro-industrial machinery using a k-Nearest Neighbors (kNN) classifier with a Harmony Search (HS) frequency selector algorithm
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Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning
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Fan mill state estimation based on acoustic signature analysis
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A Bayesian network model for fault diagnosis of a lock mechanism based on degradation data
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An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers
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Stability-based system for bearing fault early detection
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A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings
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An investigation of complex fuzzy sets for large-scale learning
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Fault diagnosis of tractor auxiliary gearbox using vibration analysis and random forest classifier
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Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions
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Faulty voice diagnosis of automotive gearbox based on acoustic feature extraction and classification technique
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Enhancement of industrial information systems through AI models to simulate the vibrational and acoustic behavior of machining operations
inferred← citeshttps://doi.org/10.1016/j.jmsy.2020.12.002openalex-snapshot
A new ensemble convolutional neural network with diversity regularization for fault diagnosis
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Fault detection using bispectral features and one-class classifiers
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Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process
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Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
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Product function correntropy and its application in rolling bearing fault identification
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Intelligent fault diagnosis of rotating machinery using a new ensemble deep auto-encoder method
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Broadband and deep subwavelength acoustic antenna based on Fabry-Perot-like acoustic grating resonators
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A survey of mechanical fault diagnosis based on audio signal analysis
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Missing signal imputation for multi-channel sensing signals on rotary machinery by tensor factorization
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Domain adaptation between heterogeneous time series data: A case study on real-time rotary machinery fault diagnosis
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A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
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Audio-based fault diagnosis for belt conveyor rollers
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ACGAN and BN based method for downhole incident diagnosis during the drilling process with small sample data size
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Real-time high sensibility vibration detection based on phase correlation of line speckle patterns
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.11.026openalex-snapshot
A method of anomaly detection and fault diagnosis with online adaptive learning under small training samples
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Evaluation of the status of rotary machines by time causal Information Theory quantifiers
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A Jointed Signal Analysis and Convolutional Neural Network Method for Fault Diagnosis
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A digital twin-driven in-process monitoring system for the ultrasonic vibration-assisted milling
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Reliability evaluation method based on dynamic fault diagnosis results: A case study of a seabed mud lifting system
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Reliability-aware multimodal adaptive fusion for machinery fault diagnosis under incomplete data
inferred← citeshttps://doi.org/10.1016/j.ssci.2024.106590openalex-snapshot
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
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Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey
inferred← citeshttps://doi.org/10.1016/j.ymssp.2016.11.028openalex-snapshot
Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model based framework
inferred← citeshttps://doi.org/10.1016/j.ymssp.2017.06.012openalex-snapshot
A review on data-driven fault severity assessment in rolling bearings
inferred← citeshttps://doi.org/10.1016/j.ymssp.2017.06.033openalex-snapshot
Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques
inferred← citeshttps://doi.org/10.1016/j.ymssp.2018.06.040openalex-snapshot
Acoustic contamination detection using QQ-plot based decision scheme
inferred← citeshttps://doi.org/10.1016/j.ymssp.2020.106691openalex-snapshot
Induction motor stator current analysis for planetary gearbox fault diagnosis under time-varying speed conditions
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.107909openalex-snapshot
Enhancement of adaptive mode decomposition via angular resampling for nonstationary signal analysis of rotating machinery: Principle and applications
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.108385openalex-snapshot
A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111411openalex-snapshot
Sound-vibration spectrogram fusion method for diagnosis of RV reducers in industrial robots
inferred← citeshttps://doi.org/10.1038/s41598-022-13237-7openalex-snapshot
A deep learning approach for detecting drill bit failures from a small sound dataset
inferred← citeshttps://doi.org/10.1038/s44172-024-00190-8openalex-snapshot
Metamaterial-based passive analog processor for wireless vibration sensing
inferred← citeshttps://doi.org/10.1049/aie2.70014openalex-snapshot
A Physics‐Aware Lightweight Transformer Network for Intelligent Bearing Fault Diagnosis Under Variable Operating Conditions
inferred← citeshttps://doi.org/10.1049/iet-csr.2019.0039openalex-snapshot
Failsafe mechanism design of multicopters based on supervisory control theory
inferred← citeshttps://doi.org/10.1049/iet-smt.2019.0072openalex-snapshot
Performance enhancement of the machine‐fault diagnosis system using feature mapping, normalisation and decision fusion
inferred← citeshttps://doi.org/10.1049/iet-spr.2016.0165openalex-snapshot
Dyadic wavelet transform‐based acoustic signal analysis for torque prediction of a three‐phase induction motor
inferred← citeshttps://doi.org/10.1080/03772063.2020.1768158openalex-snapshot
An Improved Negative Selection Algorithm-Based Fault Detection Method
inferred← citeshttps://doi.org/10.1080/18824889.2020.1863611openalex-snapshot
A machine sound monitoring for predictive maintenance focusing on very low frequency band
inferred← citeshttps://doi.org/10.1088/0964-1726/25/11/115013openalex-snapshot
Vibration monitoring via nano-composite piezoelectric foam bushings
inferred← citeshttps://doi.org/10.1088/1361-6501/ab8df9openalex-snapshot
A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications
inferred← citeshttps://doi.org/10.1088/1361-6501/ac5b2bopenalex-snapshot
Self-powering vibration sensor based on a cantilever system with a single-electrode mode triboelectric nanogenerator
inferred← citeshttps://doi.org/10.1088/1361-6501/acfdbfopenalex-snapshot
Bearing fault diagnosis under non-stationary conditions based on a speed signal resonance component demodulation algorithm
inferred← citeshttps://doi.org/10.1088/1361-6501/ad11cbopenalex-snapshot
Hierarchical spiking neural network auditory feature based dry-type transformer fault diagnosis using convolutional neural network
inferred← citeshttps://doi.org/10.1088/1361-6501/ad28eeopenalex-snapshot
A novel algorithm for complex transfer conditions in bearing fault diagnosis
inferred← citeshttps://doi.org/10.1088/1755-1315/1385/1/012011openalex-snapshot
Vibrational Analysis on Cooling Fan with Induced Mechanical Faults
inferred← citeshttps://doi.org/10.1088/2631-8695/ad43bdopenalex-snapshot
A methodological integration of fisher score technique with intelligent machine learning methods for ball bearing fault investigation
inferred← citeshttps://doi.org/10.1109/21cw48944.2021.9532537openalex-snapshot
Machine diagnosis using acoustic analysis: a review
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Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach
inferred← citeshttps://doi.org/10.1109/access.2017.2731945openalex-snapshot
Industrial Big Data for Fault Diagnosis: Taxonomy, Review, and Applications
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Mel Frequency Cepstral Coefficient and its Applications: A Review
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Effect of Combined Misalignments on Vibrations of a Single-Stage Spur Gear Transmission System: An Experimental Approach
inferred← citeshttps://doi.org/10.1109/access.2024.3433412openalex-snapshot
Advancing Fault Diagnosis Through Ontology-Based Knowledge Capture and Application
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A Lightweight Fault Diagnosis Framework for Hydro-Turbine Main Shaft Bearing Under Noise Interference
inferred← citeshttps://doi.org/10.1109/access.2025.3636936openalex-snapshot
Spectrogram-Based Acoustic Fault Diagnosis of Underwater Thrusters Using a Spectral-Aware Denoising Convolutional Neural Network and Vision Transformer
inferred← citeshttps://doi.org/10.1109/acemp-optim44294.2019.9007198openalex-snapshot
A novel kurtogram-based health index for induction motor fault diagnosis
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Improvement of Induction Motor Diagnosis using the Kaiser Window Function
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Study of Discharge Sound Diagnosis Using Convolutional Neural Networks
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Research on Vibration Characteristics of Different Measuring Points on the Surface of Transformer
inferred← citeshttps://doi.org/10.1109/bigcomp60711.2024.00015openalex-snapshot
Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11090625openalex-snapshot
Compound Fault Diagnosis with Deep Residual Shrinkage Network Based on Balanced Micro-Correction Pseudo-Soft Threshold
inferred← citeshttps://doi.org/10.1109/ccst.2015.7389655openalex-snapshot
Novel method for early bearing fault detection based on dynamic stability measure
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Mechanical Fault Diagnosis Based on Acoustic Features in Transformers
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Comparaison entre la Technique Vibratoire et la Technique des Courants Statoriques : Application au Diagnostic des Roulements à Billes
inferred← citeshttps://doi.org/10.1109/cmmno53328.2021.9467549openalex-snapshot
Deep Residual Shrinkage Networks with Self-Adaptive Slope Thresholding for Fault Diagnosis
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Industrial Pump Condition Monitoring with Audio Samples: a Low-Rank Linear Autoencoder Feature Extraction Approach
inferred← citeshttps://doi.org/10.1109/cscwd54268.2022.9776043openalex-snapshot
Application of Industry 4.0 and Meta Learning for Bearing Fault Classification
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Condition monitoring of mechanical faults in induction machines from electrical signatures: Review of different techniques
inferred← citeshttps://doi.org/10.1109/demped.2019.8864830openalex-snapshot
Bearing Faults Classification Based on Variational Mode Decomposition and Artificial Neural Network
inferred← citeshttps://doi.org/10.1109/etfa.2019.8869371openalex-snapshot
Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring
inferred← citeshttps://doi.org/10.1109/icacat.2018.8933643openalex-snapshot
Comparison and Selection of Wavelets for Vibration Signals Denoising and Fault Detection of Rotating Machines using Neighborhood Correlation of SWT Coefficients
inferred← citeshttps://doi.org/10.1109/icacdot.2016.7877726openalex-snapshot
Engine fault diagnosis using sound analysis
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Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals
inferred← citeshttps://doi.org/10.1109/icccnt45670.2019.8944541openalex-snapshot
Analysis of Statistical Features for Bearing Fault Classification using Ensemble Technique
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Intra-Inter Feature Ranking based Feature Selection Method for Bearing Fault Classification
inferred← citeshttps://doi.org/10.1109/icciautom.2017.8258698openalex-snapshot
A comparison between some pattern recognition based fault diagnosis methods of induction motor
inferred← citeshttps://doi.org/10.1109/iceaai64185.2025.10957283openalex-snapshot
Attention Mechanism-Enhanced Multi-scale Separable Atrous Convolution Method for Motor Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/icecs53924.2021.9665616openalex-snapshot
Embedded acoustic fault monitoring for water pumps
inferred← citeshttps://doi.org/10.1109/iciea.2019.8833634openalex-snapshot
Life Period Estimation of Stamping Process Using Punch Sounds and Deep Neural Network
inferred← citeshttps://doi.org/10.1109/icieeimt.2017.8116850openalex-snapshot
Hum detecting equipment for contactors
inferred← citeshttps://doi.org/10.1109/icit.2018.8352397openalex-snapshot
An online incremental support vector machine for fault diagnosis using vibration signature analysis
inferred← citeshttps://doi.org/10.1109/icrms63553.2024.00092openalex-snapshot
Intelligent Centrifugal-pump Fault Identification Technology Based on Vibration Signals Combined with Noise Reduction and Signature Analysis
inferred← citeshttps://doi.org/10.1109/icscn.2017.8085717openalex-snapshot
Machine condition monitoring using audio signature analysis
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Sound Analysis to Develop Operation Confirmation System for Remotely-controlled Ship
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191814openalex-snapshot
Machinery Anomaly Detection using artificial neural networks and signature feature extraction
inferred← citeshttps://doi.org/10.1109/isgteurope.2018.8571504openalex-snapshot
Blind Source Separation as an Extraction Tool of the Useful Diagnostic Material in on Load Tap Changer Audio Based Diagnostics
inferred← citeshttps://doi.org/10.1109/isie45063.2020.9152504openalex-snapshot
An Improved Simultaneous Fault Diagnosis Method based on Cohesion Evaluation and BP-MLL for Rotating Machinery
inferred← citeshttps://doi.org/10.1109/issc.2017.7983626openalex-snapshot
A hardware-software WSN platform for machine and structural monitoring
inferred← citeshttps://doi.org/10.1109/jiot.2024.3387481openalex-snapshot
Trustworthy Diagnostics With Out-of-Distribution Detection: A Novel Max-Consistency and Min-Similarity Guided Deep Ensembles for Uncertainty Estimation
inferred← citeshttps://doi.org/10.1109/jsen.2017.2719630openalex-snapshot
A Smart Sensor Node for the Internet-of-Elevators—Non-Invasive Condition and Fault Monitoring
inferred← citeshttps://doi.org/10.1109/jsen.2019.2927754openalex-snapshot
Condition Monitoring of Machines Using Fused Features From EMD-Based Local Energy With DNN
inferred← citeshttps://doi.org/10.1109/jsen.2019.2947026openalex-snapshot
Multi-Fault Bearing Classification Using Sensors and ConvNet-Based Transfer Learning Approach
inferred← citeshttps://doi.org/10.1109/jsen.2025.3550866openalex-snapshot
AI-Based Bolt/Nut Looseness Sensing Using Spectrogram Images of Shaft Vibrations
inferred← citeshttps://doi.org/10.1109/jsen.2025.3588468openalex-snapshot
mmFusion: mmWave-Assisted Mono Speech Enhancement for Multisource Aliasing and Addressing
inferred← citeshttps://doi.org/10.1109/jsyst.2017.2753851openalex-snapshot
Layered and Real-Valued Negative Selection Algorithm for Fault Detection
inferred← citeshttps://doi.org/10.1109/lascas.2016.7451046openalex-snapshot
Audio anomaly detection on rotating machinery using image signal processing
inferred← citeshttps://doi.org/10.1109/lsens.2020.3030804openalex-snapshot
Novel Elastomer Vibration Sensor for Machine Health-Monitoring Applications
inferred← citeshttps://doi.org/10.1109/metroautomotive64646.2025.11119256openalex-snapshot
Validation of Mechanical Load Imbalance Detection in Six-Phase Surface-Mounted AC Permanent Magnet Synchronous Motor Drive
inferred← citeshttps://doi.org/10.1109/mfi.2017.8170401openalex-snapshot
Multirotor UAV state prediction through multi-microphone side-channel fusion
inferred← citeshttps://doi.org/10.1109/phm-beijing63284.2024.10874663openalex-snapshot
A Frequency Adaptive Vibration Analysis Method for Variable Speed Rotating RV Reducer
inferred← citeshttps://doi.org/10.1109/phm-qingdao46334.2019.8943030openalex-snapshot
The fusion analysis between tool failure mechanism and process signal
inferred← citeshttps://doi.org/10.1109/psgec51302.2021.9541967openalex-snapshot
Research on Voiceprint Recognition of Electrical Faults With Lower False Alarm Rate
inferred← citeshttps://doi.org/10.1109/psgec51302.2021.9542338openalex-snapshot
Research on Voiceprint Recognition of Power Transformer Anomalies Using Gated Recurrent Unit
inferred← citeshttps://doi.org/10.1109/sa47457.2019.8938082openalex-snapshot
Combination of Human and Machine Intelligence to Optimize Assembly
inferred← citeshttps://doi.org/10.1109/safeprocess45799.2019.9213244openalex-snapshot
A Semi-supervised Constraints Propagation Based Method for Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/siu.2018.8404267openalex-snapshot
Analysis and classification of air disc brake sounds in time and frequency domain
inferred← citeshttps://doi.org/10.1109/spec52827.2021.9709458openalex-snapshot
Sensitivity Analysis of SVM Kernel Functions in Machinery Condition Classification
inferred← citeshttps://doi.org/10.1109/spec52827.2021.9709467openalex-snapshot
Acoustic Analysis Based Condition Monitoring of Induction Motors: A Review
inferred← citeshttps://doi.org/10.1109/tai.2021.3110835openalex-snapshot
Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder
inferred← citeshttps://doi.org/10.1109/tec.2016.2626008openalex-snapshot
The Harmonic Order Tracking Analysis Method for the Fault Diagnosis in Induction Motors Under Time-Varying Conditions
inferred← citeshttps://doi.org/10.1109/tec.2024.3386721openalex-snapshot
Multi-Electrical Signal Analysis Based Bearing Fault Diagnosis for Permanent Magnet Synchronous Machines Under Uncertain Controller Bandwidths
inferred← citeshttps://doi.org/10.1109/tie.2019.2922919openalex-snapshot
Motor Speed Signature Analysis for Local Bearing Fault Detection With Noise Cancellation Based on Improved Drive Algorithm
inferred← citeshttps://doi.org/10.1109/tie.2020.2972458openalex-snapshot
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tie.2020.2984976openalex-snapshot
Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/tii.2017.2695583openalex-snapshot
Bayesian Networks in Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tii.2020.3030186openalex-snapshot
Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction
inferred← citeshttps://doi.org/10.1109/tim.2018.2890329openalex-snapshot
Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification
inferred← citeshttps://doi.org/10.1109/tim.2019.2954151openalex-snapshot
Fault Diagnosis of Complex Chemical Processes Based on Enhanced Naive Bayesian Method
inferred← citeshttps://doi.org/10.1109/tim.2020.3033943openalex-snapshot
Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework
inferred← citeshttps://doi.org/10.1109/tim.2021.3139706openalex-snapshot
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
inferred← citeshttps://doi.org/10.1109/tim.2023.3342841openalex-snapshot
mmAcoustic: Full-Field Sound Source Localization, Identification, and Area-Selectable Sound Recovery via Millimeter-Wave Vibration Monitoring
inferred← citeshttps://doi.org/10.1109/tim.2024.3376009openalex-snapshot
Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System
inferred← citeshttps://doi.org/10.1109/tim.2024.3378258openalex-snapshot
Reduced Mode Decomposition: A New Signal Decomposition Method
inferred← citeshttps://doi.org/10.1109/tim.2024.3384551openalex-snapshot
Automatic Condition Monitoring and Fault Diagnosis System for Power Transformers Based on Voiceprint Recognition
inferred← citeshttps://doi.org/10.1109/tim.2025.3527538openalex-snapshot
Single-Shot Microvibration Detection and Its Application in Spatial Multipoints Vibration Sensing
inferred← citeshttps://doi.org/10.1109/tmech.2015.2414177openalex-snapshot
Vibration-Based Milling Condition Monitoring in Robot-Assisted Spine Surgery
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