Acquiring meaningful acoustic data from automotive components in a factory environment can be a difficult task due to background noise from test stand machinery, factory noise, and noise from other components. A signal processing scheme was developed which incorporates the least mean square (LMS) algorithm by Widrow for adaptively filtering out unwanted background noise. Tests were performed to evaluate the feasibility of adaptive noise filtering to enhance analyzing radiated noise from automotive air conditioning compressors, powder steering pumps, and engines. The results of the study demonstrated the utility of an adaptive filter to remove extraneous noise that masked the radiated noise from these components.


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    Title :

    Noise analysis of automotive components utilizing adaptive filtering techniques


    Additional title:

    Lärmanalyse von Automobilteilen unter Anwendung der adaptiven Filtertechnik


    Contributors:
    Bosworth, G.P. (author) / Veronda, D.R. (author) / Edie, P.C. (author)


    Publication date :

    1990


    Size :

    4 Seiten, 6 Bilder, 3 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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