基于经验思维和逻辑思维的故障诊断专家系统

利用神经网络和基于“与”“或”逻辑树的反向推理机分别模拟领域专家的经验思想和逻辑思维,用神经网络确定出可疑故障,由反向推理机实现逻辑推理验证并得出最终诊断结构,并在此基础上实现了一个实用型故障诊断专家系统。仿真故障诊断结果表明,该系统模仿人类思维方式具有较高的实时性、智能性和精确性。

Fault diagnosis expert system based on experiential and logical thinking

The artificial neural network and reversed reasoning machine founded on "and" and "or" logical trees are applied to simulate experts' experiential and logical thinking respectively. The practical expert system for fault diagnosis detects the possible faults with neural network and makes the conclusion by logical verification with reversed reasoning machine. The simulation results of fault diagnosis show that it simulates human's thinking mode and has higher real time performance, intelligence and precision.