Diagnostic Method of Causal Network Model Based on Swarm Intelligence Algorithm

In the procedure of turbine machinery fault diagnosis by probabilistic causal network model, the solution of the diagnostic problem can not be directly gotten by the traditional solving method and, furthermore, multi-level, multi-node complicated causal network may lead to the problem of "combinatorial explosion" and the exponential increase in computational cost etc. To solve these problems, based on the theory of swarm intelligence, the swarm intelligence algorithm model of probabilistic causal network in turbine machinery fault diagnosis is established, and the basic swarm calculation method and the improved method are given. The problems are well settled in the traditional solving method. Finally, the advantages and the engineering practicability are demonstrated by a practical example.