TY - GEN
T1 - Life prediction of self-locking nut for aeroengine based on survival analysis and bayesian network
AU - Cai, Zhiqiang
AU - Wang, Yuhang
AU - Cao, Huiying
AU - Tian, Zhengjie
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/14
Y1 - 2020/12/14
N2 - The self-locking nut is an advanced fastening part, which can be locked by friction. It has been widely used in the connection of aeroengine system nowadays. The performance and reliability of self-locking nut will directly affect the tightness of various aeroengine components, and play an important role in the operation of aeroengine. In this paper, based on the collected lifetime data of aeroengine selflocking nut, the survival analysis method is introduced to discover the influence of each individual variable on the life of self-locking nut at first. Then, after eliminating the irrelevant variables according to survival analysis, a novel Bayesian network (BN) based life prediction model is established to support the decision making of extending service life and improving system reliability. Finally, by comparing with the general BN model with all variables, the performance of the proposed model is verified, and the applications of the model are also given.
AB - The self-locking nut is an advanced fastening part, which can be locked by friction. It has been widely used in the connection of aeroengine system nowadays. The performance and reliability of self-locking nut will directly affect the tightness of various aeroengine components, and play an important role in the operation of aeroengine. In this paper, based on the collected lifetime data of aeroengine selflocking nut, the survival analysis method is introduced to discover the influence of each individual variable on the life of self-locking nut at first. Then, after eliminating the irrelevant variables according to survival analysis, a novel Bayesian network (BN) based life prediction model is established to support the decision making of extending service life and improving system reliability. Finally, by comparing with the general BN model with all variables, the performance of the proposed model is verified, and the applications of the model are also given.
KW - Bayesian network
KW - Life prediction
KW - Reliability
KW - Selflocking nut
KW - Survival analysis
UR - http://www.scopus.com/inward/record.url?scp=85099743389&partnerID=8YFLogxK
U2 - 10.1109/IEEM45057.2020.9309737
DO - 10.1109/IEEM45057.2020.9309737
M3 - 会议稿件
AN - SCOPUS:85099743389
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 414
EP - 418
BT - 2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Y2 - 14 December 2020 through 17 December 2020
ER -