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Condition Diagnosis of Air-conditioner Compressor by Waveform Analysis of AE Raw Signal  

이감규 (LG전자(주))
강익수 (부산대학교 대학원 정밀기계공학과)
강명창 (부산대학교 정밀정형 및 금형가공연구소)
김정석 (부산대학교 기계공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.21, no.11, 2004 , pp. 125-129 More about this Journal
Abstract
For the diagnosis of compressor abnormal condition in air-conditioner, AE signal which is derived from wear condition, compressed air and assembly error is analyzed experimentally. The burst and continuous type AE signal occurred by metal contact and compressed air and AE raw signal of compressors were directly acquired in production line. After extracting samples according to waveforms, Early Life Test(ELT) is conducted and classified to normal and abnormal waveform. The efficient parameters of waveform pattern are investigated in time and frequency domain and the diagnosis algorithm of air-conditioner by Neural Network estimation is suggested.
Keywords
AE raw signal; Rotary compressor; Neural network; Early Life Test(ELT); Eccentricity; Wear; Diagnosis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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