reviewTop 1% cited
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Mechanical Systems and Signal Processing · 2020 · Vol. 144 · pp. 106908–106908
Purushottam GangsarRajiv Tiwari✉(Indian Institute of Technology Guwahati)
Machine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and ReliabilityFault (geology)Fault detection and isolationSIGNAL (programming language)Signal processingCondition monitoringInduction motorField (mathematics)Control engineeringEngineeringComputer science
Citations
569
FWCI
42.90
field-weighted impact
References
243
Percentile
100%
vs. same field & year
Citations per year
References
Quantitative evaluation of induction motor broken bars by means of electrical signature analysis
IEEE Transactions on Industry Applications · 2001 · 482 citations
ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
Mechanical Systems and Signal Processing · 2003 · 739 citations
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
Mechanical Systems and Signal Processing · 2003 · 1,148 citations
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Mechanical Systems and Signal Processing · 2005 · 4,389 citations
A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
IEEE Transactions on Industry Applications · 2010 · 685 citations
Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)
Applied Soft Computing · 2011 · 491 citations
Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
Mechanical Systems and Signal Processing · 2003 · 505 citations
Support vector machine in machine condition monitoring and fault diagnosis
Mechanical Systems and Signal Processing · 2007 · 1,551 citations
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