Diagnosing the Condition of Air-conditioning Compressors by Analyzing the Waveform of the Raw AE Signal

  • Kim Jeon-Ha (Engineering Research Center, Pusan National University) ;
  • Lee Gam-Gyu (Department of Research and Development, LG Electronics Co.) ;
  • Kang Ik-Soo (Engineering Research Center, Pusan National University) ;
  • Kang Myung-Chang (Engineering Research Center, Pusan National University) ;
  • Kim Jeong-Suk (School of Mechanical Engineering, Pusan National University)
  • 발행 : 2006.07.01

초록

To diagnosis abnormal compressor conditions in an air-conditioner, the acoustic emission (AE) signal, which is derived from wear condition, compressed air, and assembly error, was analyzed experimentally. Burst and continuous type AE signals resulted from metal contact and compressed air, and the raw AE signal of compressors was acquired in the production line. After extracting samples using waveforms, the Early Life Test (ELT) was conducted and the waveform was classified as normal or abnormal. Efficient parameters in the waveform pattern were investigated in time and frequency domains and a diagnosis algorithm for air-conditioners using Neural Network estimation is suggested.

키워드

참고문헌

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