TY - GEN
T1 - Aliasing signal separation of oil debris monitoring
AU - Zhong, Zhi
AU - Wang, Shaoping
AU - Hong, Wei
AU - Tomovic, Mileta
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/19
Y1 - 2016/10/19
N2 - Oil debris monitoring (ODM) is a significant technique for contaminate particle detection in real time for hydraulic systems. Current radial magnetic oil debris detector only provide the acceptable debris detection accuracy under the single particle. When two or more debris particles are generated in the oil and they pass through the debris sensor, the aliasing effects occur in detection signal and the error will be introduced. This paper presents a new debris monitoring structure based on two or more debris sensors. Through cross signal processing, this paper separates the mixed signal of oil debris monitoring and gives the accurate contamination particle detection. Simulation results indicate that the proposed mixed signal separation method is effective to identify and separate debris aliasing signal.
AB - Oil debris monitoring (ODM) is a significant technique for contaminate particle detection in real time for hydraulic systems. Current radial magnetic oil debris detector only provide the acceptable debris detection accuracy under the single particle. When two or more debris particles are generated in the oil and they pass through the debris sensor, the aliasing effects occur in detection signal and the error will be introduced. This paper presents a new debris monitoring structure based on two or more debris sensors. Through cross signal processing, this paper separates the mixed signal of oil debris monitoring and gives the accurate contamination particle detection. Simulation results indicate that the proposed mixed signal separation method is effective to identify and separate debris aliasing signal.
KW - debris aliasing
KW - inductive debris monitor
KW - oil debris monitoring
KW - sensors layout planning
UR - https://www.scopus.com/pages/publications/84997418627
U2 - 10.1109/ICIEA.2016.7603856
DO - 10.1109/ICIEA.2016.7603856
M3 - 会议稿件
AN - SCOPUS:84997418627
T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
SP - 1682
EP - 1687
BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Y2 - 5 June 2016 through 7 June 2016
ER -