发动机故障诊断的主特征量模型

 本文提出了发动机状态监控气路分析的主特征量模型。主特征量摸型的基本原理为对于发动机部件匹配热力学关系式的小偏差方程组,利用最优化方法求出各种可能的故障组合的最优解,然后根据合理性判据选择合理的最优解。主特征量模型可以在可能的故障参数数目大于测量参数数目的情况下,对主要故障参数进行故障诊断。与目前广泛采用的影响系数矩阵法比较,主特征量模型可以用于测量参数数目较少的情况,并且可以给出较多的故障诊断信息,因此具有广泛的实用意义。文中给出了主特征量模型的三种数学模型,讨论了利用主特征量模型进行故障诊断的有关技术问题,并且通过计算机模拟方法对主特征量模型的适用性及可靠性进行了分析。研究结果表明,本文提出的主特征量模型是发动机状态监控与故障诊断的一种有效方法。

MAIN CHARACTERISTIC PARAMETER MODEL FOR JET ENGINE FAULT DIAGNOSIS

A main characteristic parameter model(MCPM)is presented in the paper. The principle of MCPM is as follows. The optimum solutions of thermodynamic relationships describing engine component matching operation are obtained by optimization method for every possible fault combination and the reasonable optimum solutions are selected according to applicable and reasonable criteria. The MCPM can be used to diagnose primary engine faults with the number of possible fault parameters more than that of measurable parameters. As compared with the well known influenc coefficient matrix method, the MCPM requires less number of measurable parameters, can provide more information for engine fault diagnosis and posses more comprehensive practical significance. Three methematical models for MCPM are given and the technique of using MCPM for engine fault diagnosis is discussed in the paper. The applicability and reliability of MCPM are also analyzed by computer simulation in the paper. Research results show that the CPM presented is an effective method for engine condition monitoring and fault diagnosis.