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发动机故障诊断是根据有限的发动机性能参数的测量值在众多的可能发生但不一定发生的故障之中确定出故障的类别和程度。测量参数与故障参数之间的关系通常表示为亚定的线性方程组△y=A△x,式中△y为测量参数向量而△x为故障参数向量。引入最少故障原理可以对亚定的故障方程组求解。求解方法可分为整体优化解法和组合优化解法两大类。本文给出两种基于最少故障原理的约束整体优化解法。最少故障原理和约束条件的引入可以有效地保证最优解的确定性和合理性。文中还给出了利用整体优化解法进行发动机故障诊断的实例。
Engine fault diagnosis is based on measured values of a limited number of engine performance parameters in a number of possible but not necessarily occur among the failure to determine the type and extent of the fault. The relationship between the measured and fault parameters is usually expressed as a sub-set of linear equations Δy = AΔx where Δy is the measured parameter vector and Δx is the fault parameter vector. The least fault principle can be introduced to solve the sub-set of fault equations. The solution method can be divided into two major categories: the overall optimization solution and the combination optimization solution. This paper presents two constrained global optimization solutions based on least-fault principle. The introduction of least fault principle and constraint can effectively ensure the certainty and rationality of the optimal solution. The article also gives an example of using the whole optimization method to diagnose the engine fault.