지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering 한국정밀공학회지 Vol.29 No.12
- 발행연도
- 2012.12
- 수록면
- 1,313 - 1,320 (8page)
이용수
초록· 키워드
오류제보하기
Condition monitoring of the reciprocating compressor is important task. As a traditional method, health monitoring system of refrigerator depends on decision of a skilled person based on his experience. However, the skilled person cannot monitor all the compressors completely. If a sampled compressor is faulty, thousands of compressors manufactured at that place are regarded as faulty compressors. Therefore it is necessary to monitor all compressors in the production line. In the paper real time health monitoring system is developed based on high order time frequency method and artificial neural network. The system is installed in the mass production line. The result of the application has been very successful, and currently the system is working very well on the production line.
목차
1. 서론
2. 인공 신경망 회로(ANN) 이론
3. 결함 특징 추출 기술
4. 압축기의 계측 시스템
5. 결론
후기
참고문헌
참고문헌 (12)
참고문헌 신청
Key, M. / 1988 / Modern Spectra Estimation Theory & Application / rentice Hall
Dyer, D. / 1978 / Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis / Journal of Mechanical Design 100:229~235
Randall, R. / 1981 / B&K Application Note :13~150
Lee, S. K. / 1999 / Two-Stage Adaptive Line Enhancer and Sliced Wigner Trispectrum for the Characterization of Faults from Gear Box Vibration Data / Journal of Vibration and Acoustics 121:488~494
Zhuge, Q. / 1990 / Non-stationary modeling of vibration signals for monitoring the condition of machinery / Mechanical Systems and Signal Processing 4:355~365
Dyer, D. / 1978 / Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis / Journal of Mechanical Design 100:229~235
Randall, R. / 1981 / B&K Application Note :13~150
Lee, S. K. / 1999 / Two-Stage Adaptive Line Enhancer and Sliced Wigner Trispectrum for the Characterization of Faults from Gear Box Vibration Data / Journal of Vibration and Acoustics 121:488~494
Zhuge, Q. / 1990 / Non-stationary modeling of vibration signals for monitoring the condition of machinery / Mechanical Systems and Signal Processing 4:355~365
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UCI(KEPA) : I410-ECN-0101-2014-555-000907929