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Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents a single sensor based blind source separation approach, namely, the wavelet-assisted stationary subspace analysis (WSSA), for gearbox fault diagnosis in a wind turbine.
Continuous wavelet transform (CWT) is used as a preprocessing tool to decompose a single sensor measurement data into a set of wavelet coefficients to meet the multidimensional requirement of the stationary subspace analysis (SSA).
The SSA is a blind source separation technique that can separate the multidimensional signals into stationary and nonstationary source components without the need for independency and prior information of the source signals.
After that, the separated nonstationary source component with the maximum kurtosis value is analyzed by the enveloping spectral analysis to identify potential fault-related characteristic frequencies.
Case studies performed on a wind turbine gearbox test system verify the effectiveness of the WSSA approach and indicate that it outperforms independent component analysis (ICA) and empirical mode decomposition (EMD), as well as the spectral-kurtosis-based enveloping, for wind turbine gearbox fault diagnosis.
American Psychological Association (APA)
Qian, Yuning& Yan, Ruqiang. 2015. Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation. Journal of Sensors،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110575
Modern Language Association (MLA)
Qian, Yuning& Yan, Ruqiang. Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation. Journal of Sensors No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1110575
American Medical Association (AMA)
Qian, Yuning& Yan, Ruqiang. Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110575
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110575