Fault diagnosis for fan based on auditory spectrum feature of sound signal

Honghui Yang, Hong Hou, Xiangyang Zeng, Jincai Sun

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this paper, an auditory spectrum feature extraction method is proposed the psychophysics of hearing is simulated by auditory spectrum feature. Support vector machine (SVM) is used for the identification of fan fault. A fault diagnosis system is designed based on auditory principle and SVM, and is also applied to fault diagnosis for fan. A series of experiments were carried with the real data measured from a factory environment. The results show that the auditory spectmm feature is effective for fan fault diagnosis. The classification accuracy for normal fans is about 99.18%, and the classification accuracy of the types for faulty fans is above 91%.

Original languageEnglish
Pages (from-to)175-179
Number of pages5
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Volume30
Issue number1
StatePublished - Jan 2009

Keywords

  • Auditory spectrum feature
  • Fault diagnosis of fan
  • Support vector machine

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