A self-learning system and its application in fault diagnosis

摘要

In this paper, a self-learning system based on objectives used infault diagnosis expert systems is presented. It depends on the deepknowledge model of the diagnosed system and can improve diagnosticcapability by expanding and satisfying the shallow knowledge base.Algorithms and principle of the self-learning system are described indetail. As an application, the self-learning system has been embedded ina coal-cutter fault diagnosis expert system