By combining the characteristics of command and control system, the design and implementation of distributed system fault diagnosis scheme based on PMC model is carried out.

This paper addresses the fault diagnosis of locally twisted cube under the PMC model and propose an O(N log2 N) algorithm for pessimistic diagnosis of locally twisted cube, where N is the total number of the processors.

It allows a processor to be the comparator of itself and another processor, and combines the advantages of both the classical PMC model and the Maeng/Malek model.

This article mainly analyzes the characteristic symptoms the system diagnosis model PMC, obtains its satisfied condition and proposes the new algorithm.

The grouping algorithm of the strong t-diagnosable system of PMC model based on mutual test;

Studies how to construct Hopfield neural network to identify the sets of faulty nodes under a three-valued PMC model.

The chief works in this paper are as follows:(1)The past theorem is further replenished and complemented;(2)A simple and convenient method for directly getting absolute fault base is given;(3)By introducing the concept of direct sum,more dimensions PMC fault models are separated into less dimensions models to.