| 基于模型的故障诊断中的模糊建模和推理 |
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| 引用本文： | 杨杰,张晓莉,郭英凯. 基于模型的故障诊断中的模糊建模和推理[J]. 上海交通大学学报, 1999, 33(4): 418-421 |
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| 作者姓名： | 杨杰 张晓莉 郭英凯 |
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| 作者单位： | 上海交通大学,图像处理和模式识别研究所,上海,200030 |
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| 基金项目： | 国家自然科学基金,国家经贸委资助 |
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| 摘 要： | 分析了基于模型的故障诊断方法的原理和特点以及其他故障诊断方法（基于规则、基于人工神经网、基于案例）的局限性．针对基于模型的故障诊断，提出了运用人工神经网和遗传算法的模糊建模方法，简化了建模复杂性．给出了基于模糊模型的故障诊断推理方法，从而能有效地处理复杂系统的故障诊断
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| 关 键 词： | 故障诊断；基于模型的故障诊断；人工神经网络；遗传算法 |
| 修稿时间： | 1998-09-01 |
Fuzzy Modeling and Inference in Model-Based Fault Diagnosis |
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| YANG Jie,ZHANG Xiao-li,GUO Ying-kai. Fuzzy Modeling and Inference in Model-Based Fault Diagnosis[J]. Journal of Shanghai Jiaotong University, 1999, 33(4): 418-421 |
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| Authors: | YANG Jie ZHANG Xiao-li GUO Ying-kai |
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| Abstract: | The principle and characteristics of model based fault diagnosis, and the limitations of other fault diagnosis approaches (rule based, based on artificial neural network, case based) were analyzed. For the model based fault diagnosis, fuzzy modeling approaches using neural network and genetic algorithm were presented, which simplifies the complexity of modeling. Reasoning algorithms of fault diagnosis based on fuzzy models were given so that the fault diagnosis of complicated systems can be effectively dealt with. |
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| Keywords: | fault diagnosis model based fault diagnosis artificial neural networks genetic algorithm |
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