基于CPA-FM-MEM磨粒分析的缸套-活塞系统健康状态评估

Health Status Assessment of Cylinder Liner-piston System Based on CPA-FM-MEM Wear Debris Analysis

以内燃机典型摩擦副缸套-活塞系统为研究对象,设计和搭建内燃机缸套-活塞系统状态监测试验台。针对传统最大熵方法分析润滑油中磨粒监测数据存在的缺点,提出改进的分数矩最大熵方法(Fractional Moment Maximum Entropy Method, FM-MEM),并结合食肉植物优化算法(Carnivorous Plant Algorithm, CPA)对关键参数进行寻优求解。对润滑油中磨粒监测数据进行阈值划分,实现内燃机健康状态评估,然后将理论与试验相结合,以在线磨粒监测为主,从润滑油磨粒、理化指标以及表面形貌3个方面对内燃机缸套-活塞系统的运行状态进行监测,分析低速工况下缸套-活塞系统各个时间段的磨损健康状态及磨粒含量变化趋势,通过内燃机整机的在线磨粒监测试验,证明该方法可实现对内燃机缸套-活塞系统的实时状态监测。

Taking the typical friction pair cylinder liner-piston system of internal combustion engine as the research object,the condition monitoring test bench of cylinder liner-piston system of internal combustion engine was designed and built.Aiming at the shortcomings of the traditional maximum entropy method in analyzing the monitoring data of wear debris in oil,an improved fractional moment maximum entropy method(FM-MEM)was proposed,and the key parameters were optimized by combining the carnivorous plant algorithm(CPA).The threshold division of the monitoring data of wear debris in oil was carried out to evaluate the health status of the internal combustion engine.Combining theory with experiments,with online wear debris monitoring as the main focus,the running state of the cylinder liner-piston system of the internal combustion engine was monitored from three aspects,wear debris in oil,physical and chemical indexes,and surface morphology.The wear health status and the change trend of wear debris concentration in each time period of the cylinder liner-piston system under low speed condition were analyzed.Through the on-line wear debris monitoring test of the internal combustion engine,it is proved that this method can realize the on-line real-time condition monitoring of the cylinder liner-piston system of the internal combustion engine.