Comparison of wavelet-functions for induction-motor rotor fault detection based on the hybrid &amp;#x201C;Time Synchronous Averaging - Discrete Wavelet Transform&amp;#x201D; approach

Ngote, Nabil; Guedira, Saïd; Ouassaid, Mohammed; Cherkaoui, Mohamed

doi:10.1109/eitech.2015.7162994

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…Another effective technique is the combination of both wavelet as well as method of power-spectral-density, which is competent for recognition of failures such as rotor broken bar as well as eccentricity, occurs in an induction machine [91], [92]. The other diagnostic technique using wavelets, and signature of fault in frequency band inter relate with the frequency of supply, Time Synchronous Averaging (TSA) algorithm with DWT can give efficient result for detection of induction motor rotor faults [93].…”

Section: Advanced Diagnostic Techniquesmentioning

confidence: 99%

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

et al. 2019

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This paper presents condition monitoring aspects of induction motor, its present status with possible mitigation schemes and future maintenance challenges. The induction motors constitute the major portion of motors in domestic and industrial applications. These motors experience different types of failures and faults associated with insulation, bearing, stator, rotor, and eccentricity. As a matter of fact, these faults may subsequently enhance the probability of failures unless proper introspection is not accomplished. In order to reduce the failure time and operating cost, early detection is indispensable which necessitates condition-based approach on contrary to scheduled maintenance. The condition monitoring is a strong candidate to address the diagnosis of machinery failure problems and unreliability. In this context, a comprehensive analysis is reported in the literature with a focus on different methodologies being addressed for such objective. Utmost efforts are made to comprehensively analyze in the reported literature in a sequential manner citing the advantage and limitations in this paper. The authors hopefully described and illustrated the associated problems with possible mitigation in the context of condition monitoring which would be immensely helpful for future researchers working in these aspects and the future roadmap would be clearly reflected.

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Section: Advanced Diagnostic Techniquesmentioning

confidence: 99%

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

et al. 2019

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“…Basically, TSA extracts the deterministic component from a signal. It is also shown that the reliability of the fault detection depends on the wavelet function [54].…”

Section: Advanced Diagnostic Algorithmsmentioning

confidence: 99%

Rotating Electrical Machine Condition Monitoring Automation—A Review

et al. 2017

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Abstract:We review existing machine condition monitoring techniques and industrial automation for plant-wide condition monitoring of rotating electrical machines. Cost and complexity of a condition monitoring system increase with the number of measurements, so extensive condition monitoring is currently mainly restricted to the situations where the consequences of poor availability, yield or quality are so severe that they clearly justify the investment in monitoring. There are challenges to obtaining plant-wide monitoring that includes even small machines and non-critical applications. One of the major inhibiting factors is the ratio of condition monitoring cost to equipment cost, which is crucial to the acceptance of using monitoring to guide maintenance for a large fleet of electrical machinery. Ongoing developments in sensing, communication and computation for industrial automation may greatly extend the set of machines for which extensive monitoring is viable.

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Improved Techniques for Analyzing Broken Rotor Bars at Different Supply Frequencies in Inverter-Fed Induction Machines

Khelfi,

Hamouda,

Baghdouche

et al. 2024

J. Inst. Eng. India Ser. B

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Comparison of wavelet-functions for induction-motor rotor fault detection based on the hybrid “Time Synchronous Averaging - Discrete Wavelet Transform” approach

Cited by 7 publications

References 14 publications

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

Rotating Electrical Machine Condition Monitoring Automation—A Review

Improved Techniques for Analyzing Broken Rotor Bars at Different Supply Frequencies in Inverter-Fed Induction Machines

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