Abstract

In modern industrial enterprises, the level of systematization and automation keeps improving. In light of the complicated conditions that involve multiple factors, multiple failures and multiple processes in the operation of the equipments and by taking fault diagnosis of the unfavorable signs of commutation for DC motors as an example, the paper discusses the principles and application of the mixed integrated intelligent diagnosis system, taking advantage of the knowledge-based expert system and the intelligent diagnosis system of neural network ensemble.

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