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航空发动机主轴轴承状态监测研究现状与发展趋势
引用本文:刘朋,王黎钦,张传伟,郑德志.航空发动机主轴轴承状态监测研究现状与发展趋势[J].航空动力学报,2022,37(2):330-343.
作者姓名:刘朋  王黎钦  张传伟  郑德志
作者单位:1.哈尔滨工业大学 航空航天轴承技术及装备工业和信息化部重点实验室,哈尔滨 150001
基金项目:国家重点研发计划(2018YFB0703804)
摘    要:航空发动机主轴轴承承受着高温、高速、重载、贫油、断油等极端工况,其疲劳、磨损等失效问题严重影响发动机的可靠性.因此,对航空发动机主轴轴承的使用状态进行有效精确监测极为重要.对航空发动机主轴轴承工况特点、主要失效模式和失效机制进行了梳理;针对主轴轴承的状态监测方法和技术,总结并对比分析了现有主轴轴承振动、滑油状态、声音、...

关 键 词:航空发动机主轴轴承  失效模式  状态监测  多传感器  信息融合
收稿时间:2021/2/24 0:00:00

Research status and development trend of condition monitoring on main-shaft bearings used in aircraft engines
LIU Peng,WANG Liqin,ZHANG Chuanwei,ZHENG Dezhi.Research status and development trend of condition monitoring on main-shaft bearings used in aircraft engines[J].Journal of Aerospace Power,2022,37(2):330-343.
Authors:LIU Peng  WANG Liqin  ZHANG Chuanwei  ZHENG Dezhi
Institution:1.Ministry of Industry and Information Technology Key Laboratory of Aerospace Bearing Technology and Equipment,Harbin Institute of Technology,Harbin 150001,China2.State Key Laboratory of Robotics and System,Harbin Institute of Technology,Harbin 150001,China
Abstract:The main-shaft bearings in aircraft engines generally endure extreme operational conditions,i.e.,high temperature,high speed,heavy load,poor oil and oil cut-off.Fatigue and wear among other failures in the main-shaft bearings significantly influence the reliability of the aircraft engines.Thus,it is essential to monitor the operational status effectively and precisely.The operating condition characteristics,main failure modes and failure mechanisms of the main-shaft bearings were sorted out.Existing main-shaft bearing monitoring technologies were summarized and compared in terms of vibration,lubricating status,sound,acoustic emission,and temperature.The method and technical characteristics of main-shaft bearings condition monitoring based on multi-sensor information fusion were discussed.Result showed that,the influences of the material and structural characteristics on output signals,the micro and wireless sensors,efficient multi-sensor information fusion methods,and data interaction between the physical and the digital model would become the future research direction of main-shaft bearings. 
Keywords:aircraft engines main-shaft bearings  failure mode  condition monitoring  multi-sensor  information fusion
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