Mechanical Fault Diagnosis for HV Circuit Breakers Based on Ensemble Empirical Mode Decomposition Energy Entropy and Support Vector Machine
Joint Authors
Zhang, Jianfeng
Liu, Mingliang
Wang, Keqi
Sun, Laijun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
During the operation process of the high voltage circuit breaker, the changes of vibration signals can reflect the machinery states of the circuit breaker.
The extraction of the vibration signal feature will directly influence the accuracy and practicability of fault diagnosis.
This paper presents an extraction method based on ensemble empirical mode decomposition (EEMD).
Firstly, the original vibration signals are decomposed into a finite number of stationary intrinsic mode functions (IMFs).
Secondly, calculating the envelope of each IMF and separating the envelope by equal-time segment and then forming equal-time segment energy entropy to reflect the change of vibration signal are performed.
At last, the energy entropies could serve as input vectors of support vector machine (SVM) to identify the working state and fault pattern of the circuit breaker.
Practical examples show that this diagnosis approach can identify effectively fault patterns of HV circuit breaker.
American Psychological Association (APA)
Zhang, Jianfeng& Liu, Mingliang& Wang, Keqi& Sun, Laijun. 2015. Mechanical Fault Diagnosis for HV Circuit Breakers Based on Ensemble Empirical Mode Decomposition Energy Entropy and Support Vector Machine. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1072897
Modern Language Association (MLA)
Zhang, Jianfeng…[et al.]. Mechanical Fault Diagnosis for HV Circuit Breakers Based on Ensemble Empirical Mode Decomposition Energy Entropy and Support Vector Machine. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1072897
American Medical Association (AMA)
Zhang, Jianfeng& Liu, Mingliang& Wang, Keqi& Sun, Laijun. Mechanical Fault Diagnosis for HV Circuit Breakers Based on Ensemble Empirical Mode Decomposition Energy Entropy and Support Vector Machine. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1072897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072897