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  • Automatic recognition of machinery noise in the working environment
    Lipar, Primož ...
    A necessity for suitable recognition of different machinery and equipment based on sound they generate is constantly present and will increase in the future . The main motivation of discrimination ... between different types of machinery sounds is to develop algorithms which can be used not only for end quality inspection, but for whole production line monitoring. Objective of our study is to recognize operation of individual machine in a production hall, where background noise level is high and is constantly changing. An exp erimental plan was designed and performed in order to confirm the hypothesis proposing that Automatic Speech Recognition algorithms can be applied for Automatic Machine Recognition. Design of the automatic machine recognition procedure used in our study wa s divided into three stages; Feature extraction, Training and Recognition (Classification). Additionally, a traditional MFCC (Mel - Frequency Cepstral Coefficient ) procedure was adjusted for machinery noise by using different filter compositions. Finally, tw o classifiers were compared, the k - NN classifier and the multivariate Gaussian distribution. Results of experiment show that machinery noise features (F requency C epstral C oefficient s) should be extracted by using linear filter compositions and processed wi th recognition algorithm based on the multivariate Gaussian distribution.
    Vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 61, no. 12, Dec. 2015, str. 698-708, SI 128)
    Vrsta gradiva - članek, sestavni del
    Leto - 2015
    Jezik - angleški
    COBISS.SI-ID - 14265627

    Povezava(-e):

    Digitalna knjižnica Slovenije - dLib.si
    DOI

vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 61, no. 12, Dec. 2015, str. 698-708, SI 128)

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