Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis
Joint Authors
Duan, Lixiang
Wang, Yangshen
Wang, Jinjiang
Zhang, Laibin
Chen, Jinglong
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Effective signal processing in fault detection and diagnosis (FDD) is an important measure to prevent failure and accidents of machinery.
To address the end distortion and frequency aliasing issues in conventional lifting wavelet transform, a Volterra series assisted undecimated lifting wavelet packet transform (ULWPT) is investigated for machinery incipient fault diagnosis.
Undecimated lifting wavelet packet transform is firstly formulated to eliminate the frequency aliasing issue in traditional lifting wavelet packet transform.
Next, Volterra series, as a boundary treatment method, is used to preprocess the signal to suppress the end distortion in undecimated lifting wavelet packet transform.
Finally, the decomposed wavelet coefficients are trimmed to the original length as the signal of interest for machinery incipient fault detection.
Experimental study on a reciprocating compressor is performed to demonstrate the effectiveness of the presented method.
The results show that the presented method outperforms the conventional approach by dramatically enhancing the weak defect feature extraction for reciprocating compressor valve fault diagnosis.
American Psychological Association (APA)
Duan, Lixiang& Wang, Yangshen& Wang, Jinjiang& Zhang, Laibin& Chen, Jinglong. 2015. Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis. Shock and Vibration،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1120219
Modern Language Association (MLA)
Duan, Lixiang…[et al.]. Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis. Shock and Vibration No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1120219
American Medical Association (AMA)
Duan, Lixiang& Wang, Yangshen& Wang, Jinjiang& Zhang, Laibin& Chen, Jinglong. Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis. Shock and Vibration. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1120219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120219