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ISSN : 1598-6721(Print)
ISSN : 2288-0771(Online)
The Korean Society of Manufacturing Process Engineers Vol.3 No.3 pp.11-16
 

The Abnormal Condition Diagnosis of Compressor Parts using Multi-signal Sensing

Lee, Kam-Gyu,Kim, Jeon-Ha,Kang, Ik-Su,Kang, Myung-Chang,Kim, Jeong-Suk,

Abstract

In this study, the characteristics of signals such as acoustic emission, vibration amplitude and noise level which are derived from the abnormal condition of compressor are investigated. The normal condition, vane stick sound and roller defect condition are chosen to analyze the signal in each cases. From the feature extraction of each signals, the dominant parameters of each signals which can identify the abnormal condition are suggested.