Fault diagnosis by time-domain beamforming integrated with kurtosis method

Long Chen, Yat Sze Choy, Tiangang Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Railway engineers have been troubled by imperfections on train wheels since the wheel/rail system was used in modern society. During the railway system operating, impact noise can be generated due to discontinuities of the surface structure of the wheels, but it is often very difficult to determine the position of imperfection in real-time. In this paper, a fault detection approach is proposed to identify and localize the wheel with wheel-flat with the interference of normal wheel and background noise during the rotating movement. The impulsive signal generated by wheel-flat is totally merged in rolling noise and background noise. Beamforming integrated with kurtosis technique is used to search for the temporal-spectrum feature and as an indicator of impulsive signals. The location of the wheel-flat on the wheels can be identified and localized by observing the value of kurtosis on beamforming sound map.
Original languageEnglish
Title of host publicationINTER-NOISE 2017 - 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet
PublisherInstitute of Noise Control Engineering
Publication statusPublished - 1 Jan 2017
Event46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong Convention and Exhibition Centre (HKCEC), Hong Kong, Hong Kong
Duration: 27 Aug 201730 Aug 2017

Conference

Conference46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
CountryHong Kong
CityHong Kong
Period27/08/1730/08/17

Keywords

  • Beamforming
  • Kurtosis
  • Wheel-flat

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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