Volume 6 Number 10 (Oct. 2011)
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JSW 2011 Vol.6(10): 1969-1976 ISSN: 1796-217X
doi: 10.4304/jsw.6.10.1969-1976

The Application of AE Signal in Early Cracked Rotor Fault Diagnosis with PWVD and SVM

Xuejun Li, Ke Wang, Lingli Jiang

Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan, China

Abstract—To further enhance the early diagnose precision and efficiency for rotor crack under condition of strongly noise, AE signals is applied to extract fault feature of early rotor cracks with the advantages of strong anti-noise ability, clear fault feature. Based on the Pseudo Wigner-Ville Distribution (PWVD), the amplitude and frequency as feature vector are extracted from the AE signal in this paper, which are used to diagnose and predict the fault types of different rotor cracks depth by support vector machine (SVM). The experiment is done to verify the proposed method applied to fault diagnosis of cracked rotor.

Index Terms—AE, cracked rotor, fault diagnosis, PWVD, SVM

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Cite: Xuejun Li, Ke Wang, Lingli Jiang, "The Application of AE Signal in Early Cracked Rotor Fault Diagnosis with PWVD and SVM," Journal of Software vol. 6, no. 10, pp. 1969-1976, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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