Journal ArticleDOI
A novel detection method of motor broken rotor bars based on wavelet ridge
TLDR
In this paper, a new detection method based on wavelet ridge is presented for the detection of cage motor broken rotor bars, aiming at the motor's starting period during which the motor accelerates progressively and CFCFR approaches the power frequency gradually in frequency spectrum.Abstract:
Detection of cage motor broken rotor bars has long been an important but difficult job in the detection area of motor faults. The characteristic frequency component of faulted rotor (CFCFR) is very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. A new detection method based on wavelet ridge is presented in this paper. Aiming at the motor's starting period during which the motor accelerates progressively and CFCFR approaches the power frequency gradually in frequency spectrum, the wavelet ridge-based method is adopted to analyze this transient procedure and the CFCFR is extracted. The influence of power frequency can be effectively eliminated, and detection accuracy can be greatly improved by using the approach presented in this paper. Also, this is indeed a novel but excellent approach for the detection domain of cage induction motor broken rotor bars.read more
Citations
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Journal ArticleDOI
Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines
TL;DR: In this paper, the authors proposed a method for the diagnosis of rotor bar failures in induction machines, based on the analysis of the stator current during the startup using the discrete wavelet transform (DWT).
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.
Book
Condition Monitoring of Rotating Electrical Machines
TL;DR: The first edition of the Condition Monitoring of Electrical Machines, written by Tavner and Penman as discussed by the authors, was published in 1987 and was aimed at professional engineers in the energy, process engineering and manufacturing industries, plus research workers and students.
Journal ArticleDOI
Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation
TL;DR: In this article, a wavelet-based method for broken-bar detection in squirrel-cage induction machines is presented, which consists in the energy evaluation of a known bandwidth with time-scale analysis using the discrete wavelet transform.
Journal ArticleDOI
Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation
Alejandro Ordaz-Moreno,R. de J. Romero-Troncoso,Jose Alberto Vite-Frias,J.R. Rivera-Gillen,Arturo Garcia-Perez +4 more
TL;DR: The novelty of this paper is the development of an automatic online diagnosis algorithm for broken-rotor-bar detection, optimized for single low-cost field-programmable gate-array (FPGA) implementation, which guarantees theDevelopment of economical self-operated equipment.
References
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Journal ArticleDOI
The wavelet transform, time-frequency localization and signal analysis
TL;DR: Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied and the notion of time-frequency localization is made precise, within this framework, by two localization theorems.
Journal ArticleDOI
Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies
N. Delprat,Bernard Escudié,Philippe Guillemain,Richard Kronland-Martinet,P. Tchamitchian,Bruno Torrésani +5 more
TL;DR: The behavior of the continuous wavelet and Gabor coefficients in the asymptotic limit using stationary phase approximations are investigated and it is shown how, under some additional assumptions, these coefficients allow the extraction of some characteristics of the analyzed signal, such as frequency and amplitude modulation laws.
Journal ArticleDOI
Noninvasive detection of broken rotor bars in operating induction motors
TL;DR: In this paper, a computer-based noninvasive broken bar fault detector for squirrel-cage rotors of induction motors is presented, which can be applied to existing motors without disassembly or shutdown and has the sensitivity to diagnose the presence of a single broken bar or an open end ring.
Journal ArticleDOI
Quantitative evaluation of induction motor broken bars by means of electrical signature analysis
TL;DR: In this article, a comparison and performance evaluation of different diagnostic procedures that use input electric signals to detect and quantify rotor breakage in induction machines supplied by the mains is presented.
Journal ArticleDOI
Characterization of signals by the ridges of their wavelet transforms
TL;DR: A couple of new algorithmic procedures for the detection of ridges in the modulus of the (continuous) wavelet transform of one-dimensional (1-D) signals are presented and shown to be robust to additive white noise.