Diagnostics of synchronous motor based on sound recognition with application of Linear Predictive Cepstrum Coefficients and fuzzy classifier

• Autorzy: Głowacz A.
• Języki publikacji: EN

Abstrakty

EN

This document provides the concept of investigations of acoustic signals of imminent failure conditions of synchronous motor. Measurements were made by recorder OLYMPUS WS-200S. Sound recognition software has been implemented. Algorithms of signal processing and analysis have been used. The system is based on the LPCC algorithm and fuzzy classifier with triangular membership function. Results confirm the correct operation of the system of sound recognition of synchronous motor.

Słowa kluczowe

EN

sound recognition; processing; classification; diagnostics; fuzzy classifier

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2009
• Tom: Vol. 2(13)
• Strony: 63--72
• Opis fizyczny: Bibliogr. 24 poz., rys., wykr.

Twórcy

autor

Głowacz A.

• AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Cracow, Poland

Bibliografia

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