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Signal Denoising Method Based on Adaptive Redundant Second-Generation Wavelet for Rotating Machinery Fault Diagnosis
Joint Authors
Lu, Na
Zhang, Guangtao
Cheng, Yuanchu
Chen, Di-Yi
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Vibration signal of rotating machinery is often submerged in a large amount of noise, leading to the decrease of fault diagnosis accuracy.
In order to improve the denoising effect of the vibration signal, an adaptive redundant second-generation wavelet (ARSGW) denoising method is proposed.
In this method, a new index for denoising result evaluation (IDRE) is constructed first.
Then, the maximum value of IDRE and the genetic algorithm are taken as the optimization objective and the optimization algorithm, respectively, to search for the optimal parameters of the ARSGW.
The obtained optimal redundant second-generation wavelet (RSGW) is used for vibration signal denoising.
After that, features are extracted from the denoised signal and then input into the support vector machine method for fault recognition.
The application result indicates that the proposed ARSGW denoising method can effectively improve the accuracy of rotating machinery fault diagnosis.
American Psychological Association (APA)
Lu, Na& Zhang, Guangtao& Cheng, Yuanchu& Chen, Di-Yi. 2016. Signal Denoising Method Based on Adaptive Redundant Second-Generation Wavelet for Rotating Machinery Fault Diagnosis. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111921
Modern Language Association (MLA)
Lu, Na…[et al.]. Signal Denoising Method Based on Adaptive Redundant Second-Generation Wavelet for Rotating Machinery Fault Diagnosis. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111921
American Medical Association (AMA)
Lu, Na& Zhang, Guangtao& Cheng, Yuanchu& Chen, Di-Yi. Signal Denoising Method Based on Adaptive Redundant Second-Generation Wavelet for Rotating Machinery Fault Diagnosis. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111921
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111921