소음 검사를 통한 에어컨의 자기음 검출 및 진단
Detection and Diagnosis of Air-Conditioner Electromagnetic Sound through Noise Measurement
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This paper presents the detection and diagnosis of air-conditioner electromagnetic sound through noise measurements. Electromagnetic sound originating from the motor is an unpleasant source of unwanted noise that should be detected at the manufacturing stage. A detection system using sound measurements was built and a detection algorithm based on FFT analysis is presented. Sound measurements are preferable over direct vibration measurement because it is non-contact and low cost. Experimental results show that our sound measurement system can detect electromagnetic sound effectively compared to using vibration measurements.
Abstract
This paper presents the detection and diagnosis of air-conditioner electromagnetic sound through noise measurements. Electromagnetic sound originating from the motor is an unpleasant source of unwanted noise that should be detected at the manufacturing stage. A detection system using sound measurements was built and a detection algorithm based on FFT analysis is presented. Sound measurements are preferable over direct vibration measurement because it is non-contact and low cost. Experimental results show that our sound measurement system can detect electromagnetic sound effectively compared to using vibration measurements.
참고문헌 (6)
- Kim J M, "The Health Effects of Industrial Noise", Special Feature, pp.131~137 (2007)
- Yang B S, "Vibration condition monitoring and diagnostics", Intervision 2006, ~ (2006)
- 이홍주, "에어컨 홴 BLDC 전동기의 음향공진에 관한 연구", 한국소음진동공학회논문집, 19(9), pp.863~869 (2009), 한국소음진동공학회
- Kim M S, "Experimental Study of Improving Electromagnetic Sound for indoors side Package Air-conditioner", pp.138~140 (2003), Korean Society for Noise and Vibration Engineering
- 김정현, "음식물처리 압착기의 압착압력 추정을 통한 자동 개폐식 시스템의 설계 및 제어", 한국기계기술학회지, 12(4), pp.75~80 (2010), 한국기계기술학회
- Doyoung Han, "Partial Fault Detection of Air-conditioning system by using a Moving Average Neural Network", Int. Jour. of Air-Conditioning and Refrigeration, 11(3), pp.125~131 (2003)