An Evaluation Method of Operational Reliability for Aero-Engine Rotor Bearings

作者：Chen, Baojia; Qiu, Guangyin; Xiao, Wenrong; Tian, Hongliang; Chen, Fafa; Zhao, Chunhua; Liu, Furong

来源：Journal of Xi'an Jiaotong University, 2018, 52(10): 41-48.

DOI：10.7652/xjtuxb201810006

• Covariates
• Logistic Regression modeling
• Operational reliability
• Reliability assessments
• Reliability estimation
• Reliability Evaluation
• Rotor bearing
• Signal processing technologies

A new reliability assessment method is proposed to improve the precision and credibility of reliability evaluation for aero-engine rotor bearings under the circumstances of less failure or zero failure data, and the method bases on a hybrid model of proportional covariate model (PCM) and Logistic regression model (LRM). The salient features reflecting equipment degradation process are extracted and selected from existing monitoring data by signal processing technology. These features are used as input of the LRM, and the equipment state data defined by the failure threshold are taken as output of the LRM. The initial reliability is estimated by LRM, and then the system hazard rate function is updated based on the response variables and the basic association variable function through combining with PCM. The mapping relationship between the monitoring data and the bearing reliability is dynamically revealed. Finally, the operational reliability of the aircraft engine bearings is successfully estimated using the updated hazard rate function. Case studies show that the method passes the process of the proportional factor decision between covariate and hazard rate, and avoids the influence coming from the subjective deviation. Its determined life error lies within 5%. It provides a new method for reliability estimation under sparse or zero failure data conditions.

• 出版日期2018
• 单位三峡大学