Coupling Fault Feature Extraction Method Based on Bivariate Empirical Mode Decomposition and Full Spectrum for Rotating Machinery
Joint Authors
Jia, Rong
Ma, Fuqi
Wu, Hua
Luo, Xingqi
Ma, Xiping
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To accurately extract the fault characteristics of vibration signals of rotating machinery is of great significance to the unit online monitoring and evaluation.
However, because the current feature extraction methods are mainly for single channel, the results of feature extraction are often inaccurate.
To this end, a coupling fault feature extraction method based on bivariate empirical mode decomposition (BEMD) and full spectrum is proposed for rotating machinery.
Firstly, the two-dimensional orthogonal signal obtained by orthogonal sampling technique is decomposed by bivariate empirical mode decomposition to obtain the intrinsic mode function with phase information.
In order to obtain the sensitive modal components, the sensitivity coefficients are constructed on the basis of mutual information.
Then, the sensitivity coefficient of each intrinsic mode function is calculated, and the intrinsic mode function with the larger sensitive coefficient is selected as the sensitive component.
Finally, the full spectrum of the sensitive component is obtained using the full vector envelope technique, so as to get a comprehensive and accurate characteristic component.
The results of simulations experiment and an application example show that this method can extract the fault characteristic component of the rotating machinery comprehensively and accurately.
It is of great significance to realize the accurate diagnosis of coupling faults of rotating machinery.
American Psychological Association (APA)
Jia, Rong& Ma, Fuqi& Wu, Hua& Luo, Xingqi& Ma, Xiping. 2018. Coupling Fault Feature Extraction Method Based on Bivariate Empirical Mode Decomposition and Full Spectrum for Rotating Machinery. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207529
Modern Language Association (MLA)
Jia, Rong…[et al.]. Coupling Fault Feature Extraction Method Based on Bivariate Empirical Mode Decomposition and Full Spectrum for Rotating Machinery. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1207529
American Medical Association (AMA)
Jia, Rong& Ma, Fuqi& Wu, Hua& Luo, Xingqi& Ma, Xiping. Coupling Fault Feature Extraction Method Based on Bivariate Empirical Mode Decomposition and Full Spectrum for Rotating Machinery. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207529
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207529