时态因果诊断模型TCDM及其应用(I)——模型、分解、合成

Temporal Causal Diagnostic Model TCDM and Its Application (I) ——Model-Splitting-Synthesis

通过将时态信息引入因果模型而构成时态因果诊断模型ＴＣＤＭ（ＴｅｍｐｏｒａｌＣａｕｓｅＤｉａｇｎｏｓｔｉｃＭｏｄｅｌ）。与此同时，给出了不确定性、子骨架以及关于ＴＣＤＭ的故障因果演变过程的概念，并通过对ＴＣＤＭ拓扑结构的分析提出了“分解－合成”原理。基于上述原理，提出了关于ＴＣＤＭ的“分解－合成”算子以及分解ＴＣＤＭ的策略。利用“分解－合成”算子可有效地分解或合成ＴＣＤＭ“子骨架”。而分解策略可将ＴＣＤＭ分解成若干相互关联的子模型，这些子模型有较好的结构。便于故障分离及分布式处理。还详细说明了因果模型分解、诊断问题求解、各子骨架部分解的合成等方法。

A temporal cause diagnostic model (TCDM) is developed by using temporal information in cause model. The concept of indeterminateness,sub-fromwork and fault causal developing process about the TCDM are defined. As a result of the topic structure analysing on TCDM, the principle of “splitting-synthesis” is presented. Based on these result, the operator of “splitting-synthesis” and the splitting stratagem of the TCDM is designed. Useing of the operator it is very effective to split or to synthes sub-fromwork. The splitting stratagem of the TCDM can be used to split up cause model into some correlative sub-model that have good constructure, is easily seperated and distributed when fail. Causal model splitting,diagnostic problem solving and part solution synthesizing on every sub-model are explained in detail.