摘要
在机械设备故障诊断的研究中，神经网络诊断系统和符号推理诊断系统基本上是分开研究的。本文分析了这两种诊断系统同人的思维的联系与区别，指出了它们各自的优缺点，并且提出了一种适合故障诊断的基于神经网络、符号推理和人的智能的综合智能模型。
In the study of mechanical fault diagnosis, the research of diagnostic system basedon neural netwiorks and the research of diagnostic system based on symbol reasoning wereconducted separately on the whole. The connections and differences between these two diag-nostic systems and human being's mode of thinking are analysed with their merits and de-merits. At the end of this paper, a synthetical model of neural network. symbol inferenceand human being' s intelligence is proposed which is suitable for fault diagnosis.
出处
《振动．测试与诊断》
EI
CSCD
1995年第3期9-14,共6页
Journal of Vibration,Measurement & Diagnosis
关键词
神经网络
人工智能
故障诊断
neuralnetwork,symbol reasoning,artificial intelligence,fault diagnosis
