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研究了改进遗传算法求解机械故障诊断的若干问题 ,定义了遗传算法求解故障诊断问题的概率因果网络 ,给出了求解故障诊断的数学表达式和适合于旋转机械的故障集、因果强度和先验概率表 ,指出表达式的最小值的集合对应于故障征兆集、因果集和征兆集 ,并以某厂风机的振动故障为例验证了该方法的有效性
Some problems of solving the mechanical fault diagnosis with improved genetic algorithm are studied. The probabilistic causal network of genetic algorithm to solve the fault diagnosis problem is defined. The mathematical expressions for solving fault diagnosis, the fault set suitable for rotating machinery, the causal strength and the priori Probability table, pointing out that the minimum set of expressions corresponds to the fault symptom set, causality set and the set of signs, and the effectiveness of the method is validated by the vibration fault of a certain plant fan