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| 摘要: |
| 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。 |
| 关键词: 水电厂 状态检修 经验思维 逻辑思维 故障诊断 专家系统 神经网络 |
| DOI： |
| 分类号:TV738 TP182 |
| 基金项目: |
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| Fault diagnosis expert system based on experiential and logical thinking |
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YANG Ting yong SHI Chong
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| Abstract: |
| 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. |
| Key words: fault diagnosis,expert system,hydroelectric plant,artificial neural network, |
