A smart discrete-wavelet based application for detecting fault by sound analysis in car engines

  • Authors:

  • B. Marakarkandy;Y. Karunakar

  • Affiliations:

  • Thakur College of Engineering, Kandivali (East);S. L. R. Tiwari College of Engineering, Mira Road (East)

  • Venue:
  • Proceedings of the International Conference & Workshop on Emerging Trends in Technology
  • Year:
  • 2011

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Abstract

Information derived from sound can be made available for many applications. This paper presents a method for detecting faults in car engines just by recording their sounds processing using our algorithm. The algorithm preprocesses the sound to remove the noise if present, the noise free car engine sound is passed through a triangular window to acquire the Multiresolution coefficients for discrete wavelet transform and compare resulting plots. The Wavelet transform analysis [1, 2] is done and the plots are scrupulously analyzed and the faults can now be detected by referring to plots. With a little know-how non technical persons can now detect the abnormalities in car engines just be using this automation.