Journal ArticleDOI
Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
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TLDR
This paper presents the state of the art review describing different type of IM faults and their diagnostic schemes, and several monitoring techniques available for fault diagnosis of IM have been identified and represented.Abstract:
There is a constant call for reduction of operational and maintenance costs of induction motors (IMs) These costs can be significantly reduced if the health of the system is monitored regularly This allows for early detection of the degeneration of the motor health, alleviating a proactive response, minimizing unscheduled downtime, and unexpected breakdowns The condition based monitoring has become an important task for engineers and researchers mainly in industrial applications such as railways, oil extracting mills, industrial drives, agriculture, mining industry etc Owing to the demand and influence of condition monitoring and fault diagnosis in IMs and keeping in mind the prerequisite for future research, this paper presents the state of the art review describing different type of IM faults and their diagnostic schemes Several monitoring techniques available for fault diagnosis of IM have been identified and represented The utilization of non-invasive techniques for data acquisition in automatic timely scheduling of the maintenance and predicting failure aspects of dynamic machines holds a great scope in futureread more
Citations
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Journal ArticleDOI
Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
TL;DR: A review of deep learning challenges related to machinery fault detection and diagnosis systems and the potential for future work on deep learning implementation in FDD systems is briefly discussed.
Journal ArticleDOI
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
TL;DR: It has been concluded that infrared thermography can be used in a non-contact way to automatically identify the faults that help to detect early warnings, irrespective of speeds and hence ensures reduced system shutdowns causing by bearing failure.
Journal ArticleDOI
Infrared Thermography-Based Fault Diagnosis of Induction Motor Bearings Using Machine Learning
TL;DR: An emergent two dimensional discrete wavelet transform (2D-DWT) based IRT method has been proposed in this article for diagnosing the different bearing faults in IM, namely, inner and outer race defects, and lack of lubrication.
Journal ArticleDOI
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman,Muhammad Irfan,Nordin Saad,Dong Zhen,Noman Haider,Adam Glowacz,Ahmad Alshorman +6 more
TL;DR: This work presents an extensive review of CM and FDD of the IM, especially for rolling elements bearings, based on artificial intelligent (AI) methods, and highlights the advantages and performance limitations of each method.
Journal ArticleDOI
Support vector machines based non-contact fault diagnosis system for bearings
TL;DR: Results reveal that the vibration signatures obtained from developed non-contact sensor compare well with the accelerometer data obtained under the same conditions which makes the developed sensor a cost-effective tool for the condition monitoring of rotating machines.
References
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Book
Rolling Bearing Analysis
Tedric A. Harris,W. J. Crecelius +1 more
TL;DR: Rolling bearing types and applications Rolling Bearing Macrogeometry Interference Fitting and Clearance Bearing Loads and Speeds Ball and Roller Loads Contact Stress and Deformation Distribution of Internal Loading in Statically Loaded Bearingings Internal Speeds and Motions Distribution of internal Loading in High Speed Bearing Deflection, Preloading, and Stiffness Statically Indeterminate Shaft - Bearing Systems Lubricant Films in Rolling Element - Raceway Contacts Friction in Fluid-Lubricated Rolling Element- RacewayContacts friction in Rolling Bearingings Rolling Bearing Temperatures Bearing
Journal ArticleDOI
A review of induction motors signature analysis as a medium for faults detection
TL;DR: The fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors are introduced.
Journal ArticleDOI
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
Naresh Tandon,A. Choudhury +1 more
TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
Journal ArticleDOI
Support vector machine in machine condition monitoring and fault diagnosis
Achmad Widodo,Bo-Suk Yang +1 more
TL;DR: This paper presents a survey of machine condition monitoring and fault diagnosis using support vector machine (SVM), and attempts to summarize and review the recent research and developments of SVM in machine condition Monitoring and diagnosis.
Journal ArticleDOI
Current signature analysis to detect induction motor faults
W.T. Thomson,M. Fenger +1 more
TL;DR: In this paper, the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives is discussed, which is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors.