Diagnostics of synchronous motor based on analysis of acoustic signals with application of MFCC and Nearest Mean classifier

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Adam Głowacz ; Witold Głowacz ; Andrzej Głowacz (2010)
  • Publisher: Sciendo
  • Journal: Archives of Foundry Engineering (issn: 1897-3310)
  • Subject: recognition | sound | nearest mean | synchronous motor | quality control | Materials of engineering and construction. Mechanics of materials | TA401-492

The paper presents method of diagnostics of imminent failure conditions of synchronous motor. This method is based on a study ofacoustic signals generated by synchronous motor. Sound recognition system is based on algorithms of data processing, such as MFCC andNearest M... View more
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