원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.10
2016.10
pp.149-158
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Oil debris signals are applied to monitor lubricant oil conditions and fault diagnosis of a wind turbine. However, the signals will be influenced by the vibration of transmission mechanism and background noise, hence false alarms and undetected particles will limit sensors ability in examining fine particles in oil debris. This paper presents an approach to enhance the performance of oil debris signals. The de-noising of signals used a wavelet filtering to remove the vibration of a wind turbine, and then set a threshold to remove the background noise which caused by the system of measurement. The effectiveness of this enhanced measurement system is tested by using simulated and experimental signals.
목차
Abstract
1. Introduction
2. Adaptive Filtering and Application of Vibration Signal Removal
2.1. Normalized Line Mean Square
2.2. Frequency Vibration Disturbance
2.3. Selection of Adaptive Filter Parameters
3. Improve Performance of Adaptive Filtering
3.1. Adaptive Wavelet Filter
3.2. Relief of the Background Noise
4. Experimental Evaluation
5. Conclusion
References
1. Introduction
2. Adaptive Filtering and Application of Vibration Signal Removal
2.1. Normalized Line Mean Square
2.2. Frequency Vibration Disturbance
2.3. Selection of Adaptive Filter Parameters
3. Improve Performance of Adaptive Filtering
3.1. Adaptive Wavelet Filter
3.2. Relief of the Background Noise
4. Experimental Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보