Automatic generation method of optimum symptom parameters forcondition diagnosis of plant machinery by genetic algorithms

摘要

When using computers for the automatic condition diagnosis ofplant machinery, symptom parameters (SP) extracted from some signals areindispensable. Currently, however there is no acceptable method forattracting the optimum SP. In order to overcome this difficulty andensure highly accurate condition diagnosis, a new method called the“automatic generation of symptom parameters” is proposed byusing genetic algorithms (GA). The authors have applied the method tomany diagnoses of plant machinery and, in each case, the optimum SP hasbeen quickly discovered. In this paper, they show the example of gearequipment diagnosis to verify the efficiency of this method