Journal ArticleDOI
Online Diagnosis of Induction Motors Using MCSA
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TLDR
An online induction motor diagnosis system using motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms is proposed, able to ascertain four kinds of motor faults and diagnose the fault status of an induction motor.Abstract:
In this paper, an online induction motor diagnosis system using motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms is proposed. MCSA is a method for motor diagnosis with stator-current signals. The proposed system diagnoses induction motors having four types of faults such as breakage of rotor bars and end rings, short-circuit of stator windings, bearing cracks, and air-gap eccentricity. Although MCSA is one of the most powerful online methods for diagnosing motor faults, it has some shortcomings, which degrade performance and accuracy of a motor-diagnosis system. Therefore, advanced signal-and-data-processing algorithms are proposed. They are composed of an optimal-slip-estimation algorithm, a proper-sample-selection algorithm, and a frequency auto search algorithm for achieving MCSA efficiently. The proposed system is able to ascertain four kinds of motor faults and diagnose the fault status of an induction motor. Experimental results obtained on 3.7-kW and 30-kW three-phase squirrel-cage induction motors and voltage-source inverters with a vector-control technique are discussedread more
Citations
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Journal ArticleDOI
Advances in Diagnostic Techniques for Induction Machines
TL;DR: This paper investigates diagnostic techniques for electrical machines with special reference to induction machines and to papers published in the last ten years, and research activities are classified into four main topics.
Journal ArticleDOI
Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring
TL;DR: New models for the influence of rolling-element bearing faults on induction motor stator current are described, based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault.
Journal ArticleDOI
A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems
TL;DR: An in-depth literature review of testing and monitoring methods that diagnose the condition of the turn-to-turn insulation of low-voltage machines, which is a rapidly expanding area for both research and product development efforts.
Journal ArticleDOI
A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive
TL;DR: This paper investigates the use of fuzzy logic for fault detection and diagnosis in a pulsewidth modulation voltage source inverter (PWM-VSI) induction motor drive and demonstrates the effectiveness of the proposed fuzzy approach.
Journal ArticleDOI
A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform
M. Riera-Guasp,Jose A. Antonino-Daviu,Manuel Pineda-Sanchez,Ruben Puche-Panadero,J. Perez-Cruz +4 more
TL;DR: This paper shows how the evolution of other non-fault-related components such as the principal slot harmonic (PSH) can be extracted with the proposed technique.
References
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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
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.
Proceedings ArticleDOI
Motor bearing damage detection using stator current monitoring
TL;DR: In this article, the authors used motor current spectral analysis to detect rolling-element bearing damage in induction machines, where the bearing failure modes were reviewed and bearing frequencies associated with the physical construction of the bearings were defined.
Proceedings ArticleDOI
Condition monitoring and fault diagnosis of electrical machines-a review
S. Nandi,Hamid A. Toliyat +1 more
TL;DR: Different types of faults and the signatures they generate and their diagnostics' schemes are described, keeping in mind the need for future research.