关键词: 概率, 故障诊断, 基因, 遗传, 优化

Abstract: On the basis of parsimonious cover theory, a field independent probabilistic causal diagnostic model is first introduced. From the point of nonlinear combination optimization, a diagnosis solving strategy of Genetic Algorithm is proposed, and the influences of population size, crossover pairs, gene mutation rate and selection strategies on problem solving process are studied.

Key words: Combination, Fault diagnosis, Gene, Optimization, Probability