Journal ArticleDOI
Approach to extracting gear fault feature based on mathematical morphological filtering
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This article is published in Chinese Journal of Mechanical Engineering.The article was published on 2007-01-01. It has received 27 citations till now. The article focuses on the topics: Fault (power engineering).read more
Citations
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Journal ArticleDOI
Multiscale morphology analysis and its application to fault diagnosis
TL;DR: In this article, a multiscale morphology analysis is applied to one-dimensional signal by defining both the length and height scales of structuring elements (SEs) and a local-peak value based adaptive algorithm is also introduced.
Journal ArticleDOI
Faults diagnosis of rolling element bearings based on modified morphological method
TL;DR: In this paper, a modified morphology analytical method has been proposed in order to effectively smooth noise and extract the impulse components in the vibration signals of defective rolling element bearings, which has been validated by both simulated impulsive signal and vibration signal of three defective rolling bearings with an outer, an inner and a rolling element faults and compared with Nikolaou's method.
Journal ArticleDOI
A hybrid fault diagnosis method using morphological filter–translation invariant wavelet and improved ensemble empirical mode decomposition
TL;DR: In this article, the morphological filter combining with translation invariant wavelet is taken as the pre-filter process unit to reduce the narrowband impulses and random noises in the original signal, then the purified signal will be decomposed by improved ensemble empirical mode decomposition (EEMD).
Journal ArticleDOI
A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis
TL;DR: The research in fault diagnosis for rolling element bearings has been attracting great interest in recent years as discussed by the authors, which is because bearings are frequently failed and the consequence could cause unexplainable failures.
Journal ArticleDOI
Average combination difference morphological filters for fault feature extraction of bearing
Jingxiang Lv,Jianbo Yu +1 more
TL;DR: Wang et al. as discussed by the authors proposed an average combination difference morphological filter (ACDIF) to extract positive and negative impacts existing in vibration signals to enhance accuracy of bearing fault diagnosis.
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