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A Comparative Analysis of Accelerometer and High-Speed Video Methods forBearing Diagnostics

https://doi.org/10.2139/ssrn.7301498
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inferredcites →https://doi.org/10.1002/047174882xopenalex-snapshot
Elements of Information Theory
inferredcites →https://doi.org/10.1006/jsvi.1997.1380openalex-snapshot
WAVELET BASED COMPRESSION AND FEATURE SELECTION FOR VIBRATION ANALYSIS
inferredcites →https://doi.org/10.1006/mssp.1997.0115openalex-snapshot
CREST FACTOR AND KURTOSIS CONTRIBUTIONS TO IDENTIFY DEFECTS INDUCING PERIODICAL IMPULSIVE FORCES
inferredcites →https://doi.org/10.1007/bf00056772openalex-snapshot
Computation of component image velocity from local phase information
inferredcites →https://doi.org/10.1007/s10115-014-0761-zopenalex-snapshot
Wavelet energy-based visualization and classification of high-dimensional signal for bearing fault detection
inferredcites →https://doi.org/10.1007/s11071-023-08560-1openalex-snapshot
Video analysis of nonlinear systems with extended Kalman filtering for modal identification
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/0262-8856(91)90039-ropenalex-snapshot
Phase singularities in scale-space
inferredcites →https://doi.org/10.1016/0263-2241(94)90033-7openalex-snapshot
A comparison of some vibration parameters for the condition monitoring of rolling element bearings
inferredcites →https://doi.org/10.1016/0301-679x(84)90076-8openalex-snapshot
Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review
inferredcites →https://doi.org/10.1016/j.asoc.2012.03.021openalex-snapshot
A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis
inferredcites →https://doi.org/10.1016/j.cnsns.2011.02.001openalex-snapshot
Nonlinear modeling and analysis of a rolling element bearing with a clearance
inferredcites →https://doi.org/10.1016/j.engappai.2025.112445openalex-snapshot
Dynamic vision-based machine vibration sensing and fault diagnosis with signal alignment and feature clustering
inferredcites →https://doi.org/10.1016/j.engfracmech.2009.09.016openalex-snapshot
Accelerated natural fault diagnosis in slow speed bearings with Acoustic Emission
inferredcites →https://doi.org/10.1016/j.eswa.2011.08.004openalex-snapshot
Intelligent fault diagnosis of rotating machinery using infrared thermal image
inferredcites →https://doi.org/10.1016/j.infrared.2015.09.004openalex-snapshot
Thermal image based fault diagnosis for rotating machinery
inferredcites →https://doi.org/10.1016/j.jsv.2007.02.029openalex-snapshot
Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
inferredcites →https://doi.org/10.1016/j.jsv.2015.01.024openalex-snapshot
Modal identification of simple structures with high-speed video using motion magnification
inferredcites →https://doi.org/10.1016/j.jsv.2015.12.011openalex-snapshot
The path of rolling elements in defective bearings: Observations, analysis and methods to estimate spall size
inferredcites →https://doi.org/10.1016/j.jsv.2016.05.027openalex-snapshot
Convolutional Neural Network Based Fault Detection for Rotating Machinery
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Vibration signal separation of rotating cylindrical structure through target-less photogrammetric approach
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Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
inferredcites →https://doi.org/10.1016/j.knosys.2023.110744openalex-snapshot
On extraction, ranking and selection of data-driven and physics-informed features for bearing fault diagnostics
inferredcites →https://doi.org/10.1016/j.measurement.2015.11.029openalex-snapshot
Bearing diagnosis using proximity probe and accelerometer
inferredcites →https://doi.org/10.1016/j.measurement.2016.07.054openalex-snapshot
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
inferredcites →https://doi.org/10.1016/j.measurement.2017.02.033openalex-snapshot
Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.045openalex-snapshot
A recurrent neural network based health indicator for remaining useful life prediction of bearings
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.2004.10.013openalex-snapshot
A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
inferredcites →https://doi.org/10.1016/j.ymssp.2005.08.028openalex-snapshot
Blind Separation of rotating machine signals using Penalized Mutual Information criterion and Minimal Distortion Principle
inferredcites →https://doi.org/10.1016/j.ymssp.2005.10.004openalex-snapshot
Compound rub malfunctions feature extraction based on full-spectrum cascade analysis and SVM
inferredcites →https://doi.org/10.1016/j.ymssp.2010.07.017openalex-snapshot
Rolling element bearing diagnostics—A tutorial
inferredcites →https://doi.org/10.1016/j.ymssp.2010.12.011openalex-snapshot
Application of an improved kurtogram method for fault diagnosis of rolling element bearings
inferredcites →https://doi.org/10.1016/j.ymssp.2015.11.014openalex-snapshot
Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings
inferredcites →https://doi.org/10.1016/j.ymssp.2016.11.009openalex-snapshot
The subpixel resolution of optical-flow-based modal analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2017.02.026openalex-snapshot
Pairwise graphical models for structural health monitoring with dense sensor arrays
inferredcites →https://doi.org/10.1016/j.ymssp.2019.07.009openalex-snapshot
Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations
inferredcites →https://doi.org/10.1016/j.ymssp.2021.107738openalex-snapshot
Sound singularity analysis for milling tool condition monitoring towards sustainable manufacturing
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108401openalex-snapshot
Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics
inferredcites →https://doi.org/10.1023/a:1026553619983openalex-snapshot
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
inferredcites →https://doi.org/10.1088/2631-8695/ae3a37openalex-snapshot
Video vibration measurement and composite fault feature extraction of rolling bearings based on multi-scale spatial filtering
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The design and use of steerable filters
inferredcites →https://doi.org/10.1109/iccv.1990.139562openalex-snapshot
Steerable filters for early vision, image analysis, and wavelet decomposition
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An Intelligent Area Localization Framework for Rotating Machine Vision Vibration Measurement
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inferredcites →https://doi.org/10.1109/rams.2006.1677404openalex-snapshot
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inferredcites →https://doi.org/10.1109/tia.2016.2581139openalex-snapshot
Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection
inferredcites →https://doi.org/10.1109/tie.2008.917108openalex-snapshot
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
inferredcites →https://doi.org/10.1109/tie.2009.2026770openalex-snapshot
Stator Current and Motor Efficiency as Indicators for Different Types of Bearing Faults in Induction Motors
inferredcites →https://doi.org/10.1109/tie.2012.2192894openalex-snapshot
Plastic Bearing Fault Diagnosis Based on a Two-Step Data Mining Approach
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Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks
inferredcites →https://doi.org/10.1109/tie.2016.2519325openalex-snapshot
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inferredcites →https://doi.org/10.1109/tim.2019.2956333openalex-snapshot
Phase-Based Noncontact Vibration Measurement of High-Speed Magnetically Suspended Rotor
inferredcites →https://doi.org/10.1109/tim.2026.3660395openalex-snapshot
Noncontact Vibration Measurement and Bearing Fault Feature Extraction Method Based on Machine Vision
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.1115/1.4003400openalex-snapshot
Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information
inferredcites →https://doi.org/10.1115/1.4035458openalex-snapshot
Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
inferredcites →https://doi.org/10.1115/1.4040041openalex-snapshot
Rolling Element Bearing Diagnostics Using Extended Phase Space Topology
inferredcites →https://doi.org/10.1115/detc2017-68375openalex-snapshot
Discrimination of Multiple Faults in Bearings Using Density-Based Orthogonal Functions of the Time Response
inferredcites →https://doi.org/10.1142/s0218539396000077openalex-snapshot
REVIEW OF FAN LIFE EVALUATION PROCEDURES
inferredcites →https://doi.org/10.1145/2461912.2461966openalex-snapshot
Phase-based video motion processing
inferredcites →https://doi.org/10.1177/1077546320926293openalex-snapshot
Fault identification and severity analysis of rolling element bearings using phase space topology
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Nonlinear Dynamic Response of High Speed Ball Bearings Due to Surface Waviness and Unbalanced Rotor
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inferredcites →https://doi.org/10.4236/jsea.2018.115012openalex-snapshot
Gear Fault Detection Using Recurrence Quantification Analysis and Support Vector Machine
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