Earticle

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

키워드

저자

• Shenggang Yang [ Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China ]
• Xiaoli Li [ Key Lab of Industrial Computer Control Engineering of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China ]
• Ming Liang [ Department of Mechanical Engineering University of Ottawa, Ontario, Canada ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605