An investigation into the fault detection of machines based on acoustic array systems

A. D. Ball, D. J. Moore, F. Gu, Iain Dupere, J. Jiang, K. Liu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Acoustic condition monitoring (CM) has a number of significant merits such as remote measurement and rich information content. In recent years it has been gaining increasing attention because of the rapid development in sensing and processing methods for interference noise suppression and demands for accurate CM. In this paper, a new acoustic detection scheme is investigated based on array technology. The scheme uses only a small number of microphones (about 5), which is easy and realistic to implement in CM, compared with conventional array applications. The capabilities of different small array configurations are studied theoretically in terms of detection accuracy and potential diagnosis capabilities. Numerical simulations have shown that a 5-sensor tetrahedron array produces high accuracy for source identification and fault detection. Based on this array configuration, an acoustic CM system is developed and embedded with array technologies, advanced signal processing and pattern recognition. Experimental results show that this system has a great potential in detecting machine faults in an industrial environment.
    Original languageEnglish
    Title of host publication14th International Congress on Sound and Vibration 2007, ICSV 2007|Int. Congr. Sound Vib., ICSV
    Pages4272-4279
    Number of pages7
    Volume5
    Publication statusPublished - 2007
    Event14th International Congress on Sound and Vibration 2007, ICSV 2007 - Cairns, QLD
    Duration: 1 Jul 2007 → …

    Conference

    Conference14th International Congress on Sound and Vibration 2007, ICSV 2007
    CityCairns, QLD
    Period1/07/07 → …

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