A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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"A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals"
written by Ahmed Alwodai, Tie Wang, Zhi Chen, Fengshou Gu, Robert Cattley, Andrew Ball,
published by Journal of Signal and Information Processing, Vol.4 No.3B, 2013

has been cited by the following article(s):

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CrossRef

[1]	A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors
	Sensors, 2022

[2]	New Condition-Based Monitoring and Fusion Approaches With a Bounded Uncertainty for Bearing Lifetime Prediction
	IEEE Sensors …, 2022

[3]	A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI
	Journal of Electrical Engineering & …, 2022

[4]	Diagnosing of air compressor faults using frequency data driven approach
	… on Advance of …, 2021

[5]	Bearing Fault Diagnosis in Induction Motor Using Modified AlexNet Algorithm
	Advances in Industrial Machines and …, 2021

[6]	Analysis of Mechanical Defects of Rotating Machines by the Method of Current Signature Analysis
	2020

[7]	Enhancement of Condition Monitoring Information from the Control Data of Electrical Motors Based on Machine Learning Techniques
	2020

[8]	Condition Monitoring of Bearing Faults Using the Stator Current and Shrinkage Methods
	2019

[9]	High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis
	2019

[10]	Bearing Fault Detection Technique by using Thermal Images: A case of Study
	2019

[11]	Fault diagnosis of mechanical systems based on electrical supply characteristics
	2019

[12]	Data-Driven Methods for Diagnostics of Rolling Element Bearings
	2019

[13]	A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis
	Mathematical Problems in Engineering, 2018

[14]	A fault diagnosis method for rolling element bearing (REB) based on reducing REB foundation vibration and noise-assisted vibration signal analysis
	Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2018

[15]	Compound Fault Diagnosis of Centrifugal Pumps Using Vibration Analysis Techniques
	2018

[16]	A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram
	Mechanical Systems and Signal Processing, 2018

[17]	The identification of shaft current induced defects on rolling bearings in wind turbine generators
	2017

[18]	Enhanced information extraction from noisy vibration data for machinery fault detection and diagnosis
	2017

[19]	Misalignment Identification Based on Dynamic Time Warping Method for Planetary Gearbox
	Proceedings of the 30th International Conference on Condition Monitoring and Diagnostic Engineering Management, 2017

[20]	Condition Monitoring of Motor Bearing Faults with Vibration and Current Signals
	2017

[21]	ZASTOSOWANIE ANALIZY BISPEKTRALNEJ W DIAGNOSTYCE SILNIKÓW INDUKCYJNYCH KLATKOWYCH
	2016

[22]	Application of the Bispectral analysis in the diagnosis of cage induction motors
	2016

[23]	A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
	Tribology International, 2016

[24]	The Optimization of Vibration Data Analysis for the Detection and Diagnosis of Incipient Faults in Roller Bearings
	2016

[25]	Development and performance evaluation of prognostic approaches for technical systems
	Dissertation, 2016

[26]	A Study Of The Diagnostic Amplitude Of Rolling Bearing Under Increasing Radial Clearance Using Modulation Signal Bispectrum
	2016

[27]	Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives
	2016

[28]	A study of two bispectral features from envelope signals for bearing fault diagnosis
	2016

[29]	The utilisation of information avalable in the sensorless control system of an AC induction motor for condition monitoring
	Thesis, 2015

[30]	철도차량 윤축 베어링 피로결함 모델기반 조기감지 기술 개발
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[31]	The Untilisation of Information Available in a Sensorless Control System of an AC Induction Motor for Condition Monitoring
	2015

[32]	A robust fault detection method of rolling bearings using modulation signal bispectrum analysis
	2015

[33]	Motor Fault Diagnosis Using Higher Order Statistical Analysis of Motor Power Supply Parameters
	2015

[34]	An MSB based robust detector for bearing condition monitoring
	University of Huddersfield Repository, 2015

[35]	The Utilisation of Information Available in a Sensorless Control System of an AC Induction Motor for Condition Monitoring
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[36]	The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum
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[1]	Monitoring of Bearing Based on High-Order Spectra Analysis of Electric Power Supply Signals Arabian Journal for Science and Engineering, 2023 DOI:10.1007/s13369-022-07554-2

[2]	New Condition-Based Monitoring and Fusion Approaches With a Bounded Uncertainty for Bearing Lifetime Prediction IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3159624

[3]	New Condition-Based Monitoring and Fusion Approaches With a Bounded Uncertainty for Bearing Lifetime Prediction IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3159624

[4]	Monitoring of Bearing Based on High-Order Spectra Analysis of Electric Power Supply Signals Arabian Journal for Science and Engineering, 2022 DOI:10.1007/s13369-022-07554-2

[5]	Bispectrum and Convolution Neural Network Based Bearing Fault Diagnosis 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), 2022 DOI:10.1109/I4C57141.2022.10057647

[6]	Diagnosing of air compressor faults using frequency data driven approach 2021 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), 2021 DOI:10.1109/ICASEA53739.2021.9733061

[7]	Bearing Fault Detection Technique by using Thermal Images: A case of Study 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019 DOI:10.1109/I2MTC.2019.8826953

[8]	Condition Monitoring of Bearing Faults Using the Stator Current and Shrinkage Methods Energies, 2019 DOI:10.3390/en12173392

[9]	High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019 DOI:10.1109/ICPHM.2019.8819374

[10]	A fault diagnosis method for rolling element bearing (REB) based on reducing REB foundation vibration and noise-assisted vibration signal analysis Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019 DOI:10.1177/0954406218791209

[11]	A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis Mathematical Problems in Engineering, 2018 DOI:10.1155/2018/2954094

[12]	A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram Mechanical Systems and Signal Processing, 2018 DOI:10.1016/j.ymssp.2017.07.037

[13]	The identification of shaft current induced defects on rolling bearings in wind turbine generators 2017 23rd International Conference on Automation and Computing (ICAC), 2017 DOI:10.23919/IConAC.2017.8081991

[14]	Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives 2016 22nd International Conference on Automation and Computing (ICAC), 2016 DOI:10.1109/IConAC.2016.7604937

[15]	Application of the Bispectral analysis in the diagnosis of cage induction motors 2016 13th Selected Issues of Electrical Engineering and Electronics (WZEE), 2016 DOI:10.1109/WZEE.2016.7800196

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