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Roller element bearing fault diagnosis using singular spectrum analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A COMPARISON OF AUTOREGRESSIVE MODELING TECHNIQUES FOR FAULT DIAGNOSIS OF ROLLING ELEMENT BEARINGS
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THE APPLICATION OF SOME NON-LINEAR METHODS IN ROTATING MACHINERY FAULT DIAGNOSIS
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Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series
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Fault classification of rolling bearing based on reconstructed phase space and Gaussian mixture model
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Difference Histograms: A new tool for time series analysis applied to bearing fault diagnosis
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A fault diagnosis approach for roller bearings based on EMD method and AR model
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Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
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Analysis of the structure of vibration signals for tool wear detection
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Simulating gear and bearing interactions in the presence of faults
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Detection and diagnosis of bearing and cutting tool faults using hidden Markov models
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Supervised locally linear embedding projection (SLLEP) for machinery fault diagnosis
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Identification of bearing faults using time domain zero-crossings
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Neural-network-based motor rolling bearing fault diagnosis
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Inner race bearing fault detection using Singular Spectrum Analysis
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Fault diagnosis of rolling element bearing using time-domain features and neural networks
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A study of the generalization capability versus training in backpropagation neural networks
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Singular Spectrum Analysis for Bearing Defect Detection
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AN INTRODUCTION TO HIDDEN MARKOV MODELS AND BAYESIAN NETWORKS
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Analysis of Time Series Structure: SSA and Related Techniques
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A comparative study on ApEn, SampEn and their fuzzy counterparts in a multiscale framework for feature extraction
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Bearing Fault Detection Using Higher-Order Statistics Based ARMA Model
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Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Transform and GA-Elman Neural Network
inferred← citeshttps://doi.org/10.1109/demped.2015.7303715openalex-snapshot
Supervised diagnosis of induction motor faults: A proposed methodology for an improved performance evaluation
inferred← citeshttps://doi.org/10.1109/icbaie52039.2021.9389944openalex-snapshot
An improved Multi-channels Information Fusion Model with multi-scale signals for fault diagnosis
inferred← citeshttps://doi.org/10.1109/icdv61346.2024.10617366openalex-snapshot
Diagnosing Electric Motor Faults based on Vibration Signals Using YOLOv8
inferred← citeshttps://doi.org/10.1109/iceict61637.2024.10671365openalex-snapshot
Research on Signal Denoising Method Based on Symplectic Geometric Mode Decomposition and Savitzky-Golay Filtering
inferred← citeshttps://doi.org/10.1109/icinfa.2015.7279436openalex-snapshot
Fault diagnosis research of rotating machinery based on Dendritic Cell Algorithm
inferred← citeshttps://doi.org/10.1109/icrest.2019.8644089openalex-snapshot
Fault Diagnosis of Motor Bearing Using Ensemble Learning Algorithm with FFT-based Preprocessing
inferred← citeshttps://doi.org/10.1109/icsmd57530.2022.10058389openalex-snapshot
Bearing Fault Diagnosis Integrated Model Based on Hierarchical Fuzzy Entropy, Convolutional Neural Network and Long Short - Term Memory
inferred← citeshttps://doi.org/10.1109/jsen.2022.3160762openalex-snapshot
Rolling Bearing Fault Diagnosis in Limited Data Scenarios Using Feature Enhanced Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/jsen.2022.3177144openalex-snapshot
Egram Based SVD Method for Gear Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/jsen.2024.3405337openalex-snapshot
Data-Drive-Based Machine Learning and Singular Spectrum Analysis to Identify Optical Patterns in Harsh Environments
inferred← citeshttps://doi.org/10.1109/jsen.2024.3520417openalex-snapshot
SVD Theory for Machine Fault Detection: A Review
inferred← citeshttps://doi.org/10.1109/phm-chongqing.2018.00197openalex-snapshot
Bearing Fault Diagnosis Based on Adaptive Multiclass–Mahalanobis–Taguchi System
inferred← citeshttps://doi.org/10.1109/phm-nanjing52125.2021.9612834openalex-snapshot
Bearing Fault Diagnosis Using Fast Temporal Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/phm-nanjing52125.2021.9612919openalex-snapshot
A One-Dimensional Vision Transformer with Multiscale Convolution Fusion for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/phm61473.2024.00026openalex-snapshot
Bearing Fault Severity Assessment Method Based on Spectrum Energy Variation
inferred← citeshttps://doi.org/10.1109/safeprocess58597.2023.10295815openalex-snapshot
Research on Health Assessment Method of Equipment Based on Hidden Markov Fusion Mechanism
inferred← citeshttps://doi.org/10.1109/sdpc.2017.123openalex-snapshot
Regrouping Particle Swarm Optimization-Based Neural Network for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3492254openalex-snapshot
Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach
inferred← citeshttps://doi.org/10.1109/tie.2018.2868023openalex-snapshot
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
inferred← citeshttps://doi.org/10.1109/tii.2020.3001376openalex-snapshot
A Bearing Fault Diagnosis Method Based on Enhanced Singular Value Decomposition
inferred← citeshttps://doi.org/10.1109/tii.2021.3089340openalex-snapshot
Data-Model Combined Driven Digital Twin of Life-Cycle Rolling Bearing
inferred← citeshttps://doi.org/10.1109/tii.2024.3403253openalex-snapshot
Online Fault Diagnosis Using Bioinspired Spike Neural Network
inferred← citeshttps://doi.org/10.1109/tim.2021.3082321openalex-snapshot
Coupled Hidden Markov Fusion of Multichannel Fast Spectral Coherence Features for Intelligent Fault Diagnosis of Rolling Element Bearings
inferred← citeshttps://doi.org/10.1109/tim.2022.3203440openalex-snapshot
Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals
inferred← citeshttps://doi.org/10.1109/tim.2023.3244822openalex-snapshot
A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tim.2025.3548820openalex-snapshot
Design of Regularized Taper Window With Alternating Optimization for Reducing Component Mixing in Generalized Singular Spectrum Analysis
inferred← citeshttps://doi.org/10.1109/tmtt.2023.3337101openalex-snapshot
Multidomain Separation for Human Vital Signs Detection With FMCW Radar in Interference Environment
inferred← citeshttps://doi.org/10.1115/1.4031989openalex-snapshot
A Numerical Model for the Identification of the Structural Damages in Rolling Contact Bearings Using Matrix Method of Dimensional Analysis
inferred← citeshttps://doi.org/10.1115/1.4033776openalex-snapshot
Size Estimation for Naturally Occurring Bearing Faults Using Synchronous Averaging of Vibration Signals
inferred← citeshttps://doi.org/10.1115/1.4048656openalex-snapshot
Roller Element Bearing Fault Size Estimation Using Adaptive Neurofuzzy Inference System
inferred← citeshttps://doi.org/10.1115/1.4053562openalex-snapshot
A Convolutional Neural Network-Based Recognition Method of Gear Performance Degradation Mode
inferred← citeshttps://doi.org/10.1142/s0219477516500097openalex-snapshot
Singular Spectrum Analysis Based on L1-Norm
inferred← citeshttps://doi.org/10.1142/s0219477520500108openalex-snapshot
Weighted Linear Recurrent Forecasting in Singular Spectrum Analysis
inferred← citeshttps://doi.org/10.1142/s0219477520500248openalex-snapshot
Bearing Fault Diagnosis Based on Unsaturated Piecewise Non-linear Bistable Stochastic Resonance under Trichotomous Noise
inferred← citeshttps://doi.org/10.1155/2015/847802openalex-snapshot
Application of LCD-SVD Technique and CRO-SVM Method to Fault Diagnosis for Roller Bearing
inferred← citeshttps://doi.org/10.1155/2016/3196465openalex-snapshot
A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine
inferred← citeshttps://doi.org/10.1155/2016/5141564openalex-snapshot
A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery
inferred← citeshttps://doi.org/10.1155/2016/5957179openalex-snapshot
The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value
inferred← citeshttps://doi.org/10.1155/2018/8067416openalex-snapshot
Optimal SES Selection Based on SVD and Its Application to Incipient Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1155/2019/3262818openalex-snapshot
A Fault Diagnosis Method for One‐Dimensional Vibration Signal Based on Multiresolution tlsDMD and Approximate Entropy
inferred← citeshttps://doi.org/10.1155/2020/8846822openalex-snapshot
A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1155/2021/9952450openalex-snapshot
A Multirate Sensor Information Fusion Strategy for Multitask Fault Diagnosis Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1155/2022/9231305openalex-snapshot
Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1155/2023/9369850openalex-snapshot
Multispectral Balanced Automatic Fault Diagnosis for Rolling Bearings under Variable Speed Conditions
inferred← citeshttps://doi.org/10.11591/ijece.v10i5.pp5288-5295openalex-snapshot
Fault diagnosis of rolling element bearings using artificial neural network
inferred← citeshttps://doi.org/10.1177/0263092316676414openalex-snapshot
Vibration analysis of deep groove ball bearing with outer race defect using ABAQUS
inferred← citeshttps://doi.org/10.1177/0954406217715483openalex-snapshot
Pattern recognition of rolling bearing fault under multiple conditions based on ensemble empirical mode decomposition and singular value decomposition
inferred← citeshttps://doi.org/10.1177/09544062211032995openalex-snapshot
An intelligent fault diagnosis method based on domain adaptation for rolling bearings under variable load conditions
inferred← citeshttps://doi.org/10.1177/09544062221092714openalex-snapshot
Lead Zirconate Titanate-based bolt looseness monitoring using multiscale singular spectrum entropy analysis and genetic algorithm-based support vector machine
inferred← citeshttps://doi.org/10.1177/09544062231216877openalex-snapshot
A novel two-stream multi-head self-attention convolutional neural network for bearing fault diagnosis
inferred← citeshttps://doi.org/10.1177/09574565261419831openalex-snapshot
A review on identification of defects in the rolling element bearings
inferred← citeshttps://doi.org/10.1177/1045389x16667549openalex-snapshot
A new approach for structural damage detection exploring the singular spectrum analysis
inferred← citeshttps://doi.org/10.1177/1045389x18758206openalex-snapshot
A novel singular spectrum analysis–based baseline-free approach for fatigue-breathing crack identification
inferred← citeshttps://doi.org/10.1177/1077546313492364openalex-snapshot
A novel application of Lucy–Richardson deconvolution: bearing fault diagnosis
inferred← citeshttps://doi.org/10.1177/1077546313496833openalex-snapshot
Singular spectrum analysis and continuous hidden Markov model for rolling element bearing fault diagnosis
inferred← citeshttps://doi.org/10.1177/1077546317721844openalex-snapshot
A complementary approach for fault diagnosis of rolling bearing using canonical variate analysis based short-time energy feature
inferred← citeshttps://doi.org/10.1177/1077546318818690openalex-snapshot
Feature frequency extraction based on singular value decomposition and its application on rotor faults diagnosis
inferred← citeshttps://doi.org/10.1177/1369433218818921openalex-snapshot
Vibration feature extraction based on the improved variational mode decomposition and singular spectrum analysis combination algorithm
inferred← citeshttps://doi.org/10.1177/1475921716651394openalex-snapshot
Sensitivity analysis of higher order coherent spectra in machine faults diagnosis
inferred← citeshttps://doi.org/10.1177/14759217231219710openalex-snapshot
Bearing fault damage degree identification method based on SSA-VMD and Shannon entropy–exponential entropy decision
inferred← citeshttps://doi.org/10.1177/14759217251332533openalex-snapshot
Fault diagnosis of rotating machinery in strong noise environment based on Gaussian filter and multibranch graph convolutional neural network
inferred← citeshttps://doi.org/10.1177/14759217251340663openalex-snapshot
A rubbing fault identification method of combining the covariance of the Hankel matrix and 1D-LBP
inferred← citeshttps://doi.org/10.1177/1748006x211048585openalex-snapshot
Multi-feature learning-based extreme learning machine for rolling bearing fault diagnosis
inferred← citeshttps://doi.org/10.1186/s10033-019-0322-1openalex-snapshot
Generalized Demodulation Transform for Bearing Fault Diagnosis Under Nonstationary Conditions and Gear Noise Interferences
inferred← citeshttps://doi.org/10.12928/ijio.v5i1.8106openalex-snapshot
Research on bearing fault diagnosis technology based on machine learning
inferred← citeshttps://doi.org/10.14257/ijca.2014.7.8.32openalex-snapshot
Study of Autoregressive (AR) Spectrum Estimation Algorithm for Vibration Signals of Industrial Steam Turbines
inferred← citeshttps://doi.org/10.1784/204764217821144287openalex-snapshot
A new methodology for fault detection in rolling element bearings using singular spectrum analysis
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