基于神经网络的综合智能故障诊断专家系统

ANN Based Synthetical Intelligent Expert System to fault Diagnosis

神经网络(ANN)和专家系统(ES)是人类智能活动的两种表示方法,它们有优缺点。如果把这两种技术结合起来取长补短,所形成的神经网络智能系统则会更加完善。这已成为人工智能发展的一个重要趋势。本文对神经网络专家系统和传统的专家系统结合起来的综合智能故障诊断专家系统在故障诊断中的应用进行了研究。

ANN and ES are two fundamentally different artificial intelligence techniques, each approach containing its own strengths and weaknesses. To take advantage of the strengths of each technique, as well as avoiding the weakness of either individual, an integrated ANN and ES diagnostic method is introduced. In this paper, a new intelligent diagnostic model which combines expert system based on ANN with tradition expert system is developed and studied.