Journal ArticleDOI
Bearing fault detection using wavelet packet transform of induction motor stator current
Jafar Zarei,Javad Poshtan +1 more
TLDR
In this paper, bearing defect is detected using the stator current analysis via Meyer wavelet in the wavelet packet structure, with energy comparison as the fault index, and the presented method is evaluated using experimental signals.About:
This article is published in Tribology International.The article was published on 2007-05-01. It has received 181 citations till now. The article focuses on the topics: Wavelet packet decomposition & Fault detection and isolation.read more
Citations
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Journal ArticleDOI
Wavelets for fault diagnosis of rotary machines: A review with applications
TL;DR: Current applications of wavelets in rotary machine fault diagnosis are summarized and some new research trends, including wavelet finite element method, dual-tree complex wavelet transform, wavelet function selection, newWavelet function design, and multi-wavelets that advance the development of wavelet-based fault diagnosed are discussed.
Journal ArticleDOI
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
TL;DR: Compared with traditional neural network, the SAE-based DNN can achieve superior performance for feature learning and classification in the field of induction motor fault diagnosis.
Proceedings Article
PRONOSTIA : An experimental platform for bearings accelerated degradation tests.
Patrick Nectoux,Rafael Gouriveau,Kamal Medjaher,Emmanuel Ramasso,Brigitte Chebel-Morello,Noureddine Zerhouni,Christophe Varnier +6 more
TL;DR: In this paper, the authors present an experimental platform called PRONOSTIA, which enables testing, verifying and validating methods related to bearing health assessment, diagnostic and prognostic, which are performed under constant and/or variable operating conditions.
Journal ArticleDOI
Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network
TL;DR: The results show that the proposed method can effectively get the signal feature to diagnose the occurrence of early fault of rotating machinery.
Journal ArticleDOI
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models
TL;DR: The results of the developed prognostics method, particularly the estimation of the RUL, can help improving the availability, reliability, and security while reducing the maintenance costs.
References
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Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Book
Introduction to Wavelets and Wavelet Transforms: A Primer
TL;DR: This work describes the development of the Basic Multiresolution Wavelet System and some of its components, as well as some of the techniques used to design and implement these systems.
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
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
Naresh Tandon,A. Choudhury +1 more
TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
Journal ArticleDOI
Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis
Jing Lin,Liangsheng Qu +1 more
TL;DR: In this paper, a denoising method based on wavelet analysis is applied to feature extraction for mechanical vibration signals, which is an advanced version of the famous soft thresholding denoizing method proposed by Donoho and Johnstone.
Related Papers (5)
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
Naresh Tandon,A. Choudhury +1 more