Volume 6 Number 10 (Oct. 2011)
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JSW 2011 Vol.6(10): 1969-1976
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.

Keywords

  • AE
  • cracked rotor
  • fault diagnosis
  • PWVD
jsw0610-12

How to Cite

Copied

Xuejun Li, Ke Wang, and 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. https://doi.org/ 10.4304/jsw.6.10.1969-1976

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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