Journal ArticleDOI
Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors
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TLDR
A review of existing techniques available for online stator interturn fault detection and diagnosis (FDD) in electrical machines, with special attention to short-circuit-fault diagnosis in permanent-magnet machines, which are fast replacing traditional machines in a wide variety of applications.Abstract:
Online fault diagnosis plays a crucial role in providing the required fault tolerance to drive systems used in safety-critical applications. Short-circuit faults are among the common faults occurring in electrical machines. This paper presents a review of existing techniques available for online stator interturn fault detection and diagnosis (FDD) in electrical machines. Special attention is given to short-circuit-fault diagnosis in permanent-magnet machines, which are fast replacing traditional machines in a wide variety of applications. Recent techniques that use signals analysis, models, or knowledge-based systems for FDD are reviewed in this paper. Motor current is the most commonly analyzed signal for fault diagnosis. Hence, motor current signature analysis is a topic of elaborate discussion in this paper. Additionally, parametric and finite-element models that were designed to simulate interturn-fault conditions are reviewed.read more
Citations
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Journal ArticleDOI
From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis
Xuewu Dai,Zhiwei Gao +1 more
TL;DR: An outlook to the possible evolution of FDD in industrial automation, including the hybrid FDD and the emerging networked FDD, are presented to reveal the future development direction in this field.
Journal ArticleDOI
Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art
TL;DR: An analysis of the state of the art in this field of electrical machines and drives condition monitoring and fault diagnosis is presented.
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A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems
Wei Qiao,Dingguo Lu +1 more
TL;DR: This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines (WTs) and discusses the common failure modes in the major WT components and subsystems.
Journal ArticleDOI
Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
TL;DR: A novel index is introduced for static and dynamic eccentricity fault diagnosis in permanent magnet synchronous motors and classification of the results indicates that the nominated index can be utilized to detect eccentricity occurrence, recognize its type, and determine its degree precisely.
Journal ArticleDOI
Advanced Diagnosis of Electrical Faults in Wound-Rotor Induction Machines
TL;DR: Simulation and experimental results show the validity of the proposed method, leading to an effective diagnosis procedure for both stator and rotor electrical faults in WRIMs, and proves the importance of the fault components computed from rotor voltages in comparison to those coming from rotor currents under closed-loop operation.
References
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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.
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.
Proceedings ArticleDOI
Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors
Austin H. Bonnett,G.C. Soukup +1 more
TL;DR: In this article, the authors attempt to identify the various causes of stator and rotor failures in three-phase squirrel cage induction motors, and a specific methodology is proposed to facilitate an accurate analysis of these failures.
Journal ArticleDOI
Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition
TL;DR: A new method for motor fault detection is proposed, which analyzes the spectrogram based on a short-time Fourier transform and a further combination of wavelet and power-spectral-density techniques, which consume a smaller amount of processing power.
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.