TY - GEN
T1 - Study on Engine Wear Position Based on Oil Monitoring and Grey Relational Analysis
AU - Li, Yingshun
AU - Dong, Wan
AU - Yi, Xiaojian
AU - Zhang, Yang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Lubricating oil plays a role in reducing wear in the engine, with the increase of engine running time, metal particles generated from the friction between parts will enter the lubricating oil, resulting in oil degradation and damaging the viscose-temperature performance of the lubricating oil. However, viscosity-temperature performance is an important index of engine health. In this paper, the viscose-temperature performance of lubricating oil is monitored to analyze whether the equipment is in normal operation. In case of abnormal operation, monitor the concentration of wear particles in the lubricating oil, the metal particles with the largest correlation degree in lubricating oil were calculated by grey relational analysis method. According to the correlation degree of wear particles, find out the wear part of engine. This method can judge whether the equipment is running normally, and find out the wear parts in time, improve the reliability and operation efficiency of the equipment, and reduce the harmfulness of production safety accidents.
AB - Lubricating oil plays a role in reducing wear in the engine, with the increase of engine running time, metal particles generated from the friction between parts will enter the lubricating oil, resulting in oil degradation and damaging the viscose-temperature performance of the lubricating oil. However, viscosity-temperature performance is an important index of engine health. In this paper, the viscose-temperature performance of lubricating oil is monitored to analyze whether the equipment is in normal operation. In case of abnormal operation, monitor the concentration of wear particles in the lubricating oil, the metal particles with the largest correlation degree in lubricating oil were calculated by grey relational analysis method. According to the correlation degree of wear particles, find out the wear part of engine. This method can judge whether the equipment is running normally, and find out the wear parts in time, improve the reliability and operation efficiency of the equipment, and reduce the harmfulness of production safety accidents.
KW - grey relational analysis
KW - lubricating oil
KW - oil monitoring
KW - viscose-temperature
UR - https://www.scopus.com/pages/publications/85099301545
U2 - 10.1109/PHM-Jinan48558.2020.00034
DO - 10.1109/PHM-Jinan48558.2020.00034
M3 - Conference contribution
AN - SCOPUS:85099301545
T3 - Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020
SP - 152
EP - 156
BT - Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020
A2 - Li, Chuan
A2 - Gjorgjevikj, Dejan
A2 - Yang, Zhe
A2 - Pu, Ziqiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020
Y2 - 23 October 2020 through 25 October 2020
ER -