A single diagnosis method cannot achieve a reasonable fault diagnosis rate.Comprehensive fault tree analysis(FTA)and chaotic particle swarm(CPSO)method are combined to achieve fault diagnosis.From the point of view of actual test signal,the results are compared with those of ANN and PSO methods.The results show that the fault diagnosis accuracy of CPSO method is 7.55%higher than that of ANN and 5.18%higher than that of PSO,achieving a significant improvement in accuracy.After 200 iterations,the CPSO method reaches the stable adaptation value,which can complete the iteration in the shortest time,ef-fectively avoid the problem of local extreme value,and greatly improve the diagnostic accuracy.This re-search can be extended to other mechanical signal testing fields and has good application value.
关键词
故障诊断/故障树分析(FTA)/混沌粒子群方法(CPSO)
Key words
Forging press/Fault diagnosis/Fault tree analysis(FTA)/Chaotic Particle Swarm Method(PSO)
维普
万方数据