전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제57권5호
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  • Pages.881-888
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  • 2008
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

신경회로망 독립성분해석을 이용한 음향센서 기반 대전력기기의 고장진단 알고리즘

Acoustic Sensors based Fault Diagnosis Algorithm for Large-scaled Power Machines using Neural Independent Component Analysis

  • 발행 : 2008.05.01
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⟨ 이전 논문 다음 논문 ⟩

초록

We present a novel fault diagnosis methodology using acoustic sensor systems and neural independent component analysis for large-scaled power machines. Acoustic sensors are carried out to measure sounds generated from power machines whose signal is used to determine whether fault is occurred or not. Acoustic measurements are independently mixed and deteriorated from original source signals. We propose a demixing algorithm against such mixed signals by means of independent component analysis which is achieved based on information theory and higher-order statistics to derive learning mechanism.

키워드

참고문헌

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