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Proceedings ArticleDOI

Induction Motor Fault Detection by using Wavelet decomposition on dq0 components

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TLDR
In this article, an early detection of interturn shorts during motor operation would eliminate consequential damage to adjacent coils and the stator core, then reducing repair costs and motor outage time.
Abstract
Early detection of interturn shorts during motor operation would eliminate consequential damage to adjacent coils and the stator core, then reducing repair costs and motor outage time. In addition to the benefits gained from early detection of turn insulation breakdown, significant advantages would accrue by locating the faulted coil within the stator winding. Fault location would not only increase the speed of the repair, but would also permit more optimal scheduling of the repair outage. Motor Current Signature Analysis (MCSA) method is widely used as a diagnose tool for industrial applications. On the other hand, Park's transform is the most popular transformation used in vector control algorithms. By analyzing the current spectra of dq0 Park components with MCSA method it is possible to improve earlier fault detection. Moreover, using Wavelet transform as signal analysis method it is possible to reduce signal noise effects. Experimental results clearly corroborate the main aim of the paper.

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Citations
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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

Fault Detection by Means of Hilbert–Huang Transform of the Stator Current in a PMSM With Demagnetization

TL;DR: In this paper, a Hilbert-Huang transform was used to diagnose demagnetization in a permanent-magnet synchronous motor (PMSM) under nonstationary conditions of velocity.
Journal ArticleDOI

Motor Fault Detection Using a Rogowski Sensor Without an Integrator

TL;DR: The study, design, and implementation of a Rogowski-coil current sensor without the integrator circuit that is typically used for motor fault detection applications is included.
Journal ArticleDOI

Wavelet fault diagnosis and tolerant of induction motor: A review

TL;DR: A review of the researches done on fault tolerant control types, methods, and main objectives of the fault-tolerant control and fault diagnosis of induction motor faults that used the wavelet transform is presented in this article.
Proceedings ArticleDOI

Demagnetization fault detection by means of Hilbert Huang transform of the stator current decomposition in PMSM

TL;DR: In this article, a study of the permanent magnet synchronous motor (PMSM) running under demagnetization is presented, and the simulation results are compared with experimental results.
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.
Proceedings ArticleDOI

Condition monitoring and fault diagnosis of electrical machines-a review

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.
Journal ArticleDOI

Induction machine fault diagnostic analysis with wavelet technique

TL;DR: It is shown that machine fault diagnosis can be effectively performed when an appropriate narrow-band filter is used to extract the required spectra components and effective machine fault diagnostic analysis to be performed in the frequency domain.
Proceedings ArticleDOI

Case histories of current signature analysis to detect faults in induction motor drives

TL;DR: In this paper, the authors demonstrate through industrial case histories how current signature analysis can reliably diagnose rotor cage problems in induction motor drives and demonstrate the ability to separate current components resulting from gearbox dynamics and from those produced by broken rotor bars.
Proceedings ArticleDOI

Statistical analysis on a case study of load effect on PSD technique for induction motor broken rotor bar fault detection

TL;DR: In this paper, the power spectral density (PSD) amplitudes of the motor currents at these frequencies can be used to detect the existence of broken rotor bar faults in an actual three-phase induction motor.
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