Journal ArticleDOI
Gearbox fault detection using Hilbert and wavelet packet transform
Xianfeng Fan,Ming J. Zuo +1 more
TLDR
In this article, the authors proposed a new fault detection method that combines Hilbert transform and wavelet packet transform for gearbox demodulation, which can extract modulating signal and help to detect the early gear fault.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-05-01. It has received 308 citations till now. The article focuses on the topics: Wavelet packet decomposition & Second-generation wavelet transform.read more
Citations
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Journal ArticleDOI
Condition monitoring and fault diagnosis of planetary gearboxes: A review
TL;DR: This paper aims to review and summarize publications on condition monitoring and fault diagnosis of planetary gearboxes and provide comprehensive references for researchers interested in this topic.
Journal ArticleDOI
Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection
TL;DR: In this paper, a new deconvolution method is presented for the detection of gear and bearing faults from vibration data, which takes advantage of the periodic nature of the faults as well as the impulse-like vibration behaviour associated with most types of faults.
Journal ArticleDOI
Vibration signal models for fault diagnosis of planetary gearboxes
Zhipeng Feng,Ming J. Zuo +1 more
TL;DR: In this paper, the spectral structure of planetary gear system vibration signals is used to diagnose planetary gearboxes with respect to the frequency of local and distributed gear faults. And the theoretical derivations are validated using both experimental and industrial signals.
Journal ArticleDOI
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
TL;DR: In this article, the inner product operation of wavelet transform (WT) is verified by simulation and field experiments and the development process of WT based on inner product is concluded and the applications of major developments in rotating machinery fault diagnosis are also summarized.
Journal ArticleDOI
Application of mother wavelet functions for automatic gear and bearing fault diagnosis
TL;DR: An automatic feature extraction system for gear and bearing fault diagnosis using wavelet-based signal processing and shows that although Daubechies 44 is the most similar mother wavelet function across the vibration signals, it is not the proper function for all wavelets-based processing.
References
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Journal ArticleDOI
Ideal spatial adaptation by wavelet shrinkage
TL;DR: In this article, the authors developed a spatially adaptive method, RiskShrink, which works by shrinkage of empirical wavelet coefficients, and achieved a performance within a factor log 2 n of the ideal performance of piecewise polynomial and variable-knot spline methods.
Journal ArticleDOI
Wavelet packet feature extraction for vibration monitoring
Gary G. Yen,Kuo-Chung Lin +1 more
TL;DR: The wavelet packet transform (WPT) is introduced as an alternative means of extracting time-frequency information from vibration signatures and significantly reduces the long training time that is often associated with the neural network classifier and improves its generalization capability.
Journal ArticleDOI
Application of wavelets to gearbox vibration signals for fault detection
Weiji Wang,P.D. McFadden +1 more
TL;DR: In this paper, the authors used the wavelet transform to represent all possible types of transients in vibration signals generated by faults in a gearbox and demonstrated the application of the suggested wavelet by a simple computer algorithm.
Book
Essential Wavelets for Statistical Applications and Data Analysis
TL;DR: A brief introduction to wavelets can be found in this article, where basic smoothing techniques elementary statistical applications wavelet features and examples wavelet-based diagnostics some practical issues other applications data adaptive wavelet thresholding generalizations and extensions.
Journal ArticleDOI
Detecting Fatigue Cracks in Gears by Amplitude and Phase Demodulation of the Meshing Vibration
TL;DR: Selection des fissures de fatigue dans les engrenages by demodulation de l'amplitude and de la phase des vibrations au cours de lengrenement as discussed by the authors.
Related Papers (5)
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
Zhike Peng,Fulei Chu +1 more