| 引用本文: | 韩小云,刘瑞岩.基于神经网络和模糊综合评判的梁故障诊断研究.[J].国防科技大学学报,1996,18(1):17-22.[点击复制] |
| Han Xiaoyun,Liu Ruiyan.Researches for Beam's Fault Diagnosis Based on Neural Network and Fuzzy Synthetic Judgement[J].Journal of National University of Defense Technology,1996,18(1):17-22[点击复制] |
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| 基于神经网络和模糊综合评判的梁故障诊断研究 |
| 韩小云, 刘瑞岩 |
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(国防科技大学 航天技术系 湖南 长沙 410073)
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| 摘要: |
| 设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。模糊推理模块利用模糊综合评判方法进行故障的预诊，神经网络模块采用竞争学习方法完成故障的确诊。文中对悬臂梁的单一故障和复合故障等七种模式进行了诊断分析，均获得了正确的诊断结果。 |
| 关键词: 故障诊断，结构振动，神经网络，模糊综合评判 |
| DOI： |
| 投稿日期：1995-06-15 |
| 基金项目: |
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| Researches for Beam's Fault Diagnosis Based on Neural Network and Fuzzy Synthetic Judgement |
| Han Xiaoyun, Liu Ruiyan |
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(Department of Aerospace Technology，NUDT，Changsha，410073)
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| Abstract: |
| A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base，fuzzy reasoning module，neural network module and control module. The fault pre-diagnosis is completed in the fuzzy reasoning module by use of fuzzy synthetic judgement method. The identification of the fault types is achieved in the neural network module using competitive learning algorithm. The seven models for the single and composite. faults of a cantilever beam have been investigated. The results are satisfactory. |
| Keywords: fault diagnosis of beam,structural vibration,neural networks,fuzzy synthetic judgement |
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