Study of self-learning method based genetic programming
Liqing Fang, Yongteng Zhang, Donggen Chen, Ning Zhang, Yulong Zhao · 2002
Appropriate symptom parameters used in the fault diagnosis expert system are not being selected fast and truly enough because the diagnosis knowledge of some of the diagnosed-objects is insufficient. In this paper the genetic programming is considered and used to self-reorganize the effective symptom parameters, a self-learning function of the system is achieved, and the precision and efficiency of diagnosis are improved. The obvious effect is proved by the experiment of fault diagnosis for the conic-form bearing.