基于非齐次泊松过程的拖拉机发动机使用可靠性

OPERATIONAL RELIABILITY OF TRACTOR ENGINES BASED ON NON-HOMOGENEOUS POISSON PROCESS

进行发动机故障跟踪试验,得到发动机现场使用的故障数据。基于随机过程的理论,用非齐次泊松过程建立发动机故障过程数学模型,包括模型的假设检验,并给出故障过程模型的参数估计。研究发动机的故障间隔时间和故障强度函数之间的数学表达式,定义故障过程改善和故障过程劣化的概念,导出故障过程改善和故障过程劣化与故障强度函数之间的关系,得到发动机使用初期的故障强度曲线,给出发动机平均故障间隔时间的估计值。研究结果能为提高发动机可靠性、维修性和维修策略提供参考依据,同时对研究机械系统之间故障的相关性奠定理论基础。

The data of engine failures about tractors operating in field conditions is collected by running engine failure tracting tests, A mathematic model is established using the theory of random process, and non-homogenous process for the engine failure process, a hypothesis test is done with the model, and parameters are estimated with the failure process model as well. The mathematical expression between the intervalic time of engine failures and the failure intensity function is studied, the concepts of failure process improvement and deterioration are defined, and the relation between the failure process improvement and deterioration and the failure intensity function is developed so that failure intensity curves are established for the initial operation of engine, and estimated mean time between engine failures is given. The result of research can be used as references for improvement of reliability and maintainability of tractor engines, and for establishment of maintenance strategy, and as theoretical basis for study on the interrelation between mechanical system failures as well.