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

신경회로망 독립성분해석을 이용한 음향센서 기반 대전력기기의 고장진단 알고리즘

  • Published : 2008.05.01

Abstract

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.

Keywords

Fault diagnosis;Acoustic sensors;Large-scaled power machines;ICA;Neural networks

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