| 引用本文: | 刘志言,沈 毅,刘宜平.一种基于模糊逻辑的非线性系统故障检测与定位的方法[J].控制理论与应用,2001,18(2):234~237.[点击复制] |
| LIU Zhi-yan,SHEN Yi,LIU Yi-ping.An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic[J].Control Theory and Technology,2001,18(2):234~237.[点击复制] |
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| 一种基于模糊逻辑的非线性系统故障检测与定位的方法 |
| An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic |
| 摘要点击 1442 全文点击 1095 投稿时间：1999-02-02 修订日期：2000-03-21 |
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| DOI编号 |
| 2001,18(2):234-237 |
| 中文关键词 非线性系统 故障诊断 模糊聚类分析 模糊模型 |
| 英文关键词 nonlinear systems fault diagnosis fuzzy cluster analysis fuzzy model |
| 基金项目 国家自然科学基金(69904004)资助项目. |
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| 中文摘要 |
| 针对一般非线性系统, 提出了一种带故障标志的系统故障模糊模型, 基于此模型给出了一种非线性系统故障检测与定位的新方法. 它采用模糊聚类算法提取故障系统的模糊规则, 进而完成系统故障的检测与定位. 该方法对噪声污染具有较强的抑制作用, 对模型误差亦无较高的要求. 仿真结果表明所提方法对非线性系统的故障可以及时准确地完成检测与定位. |
| 英文摘要 |
| A new fuzzy model with symbols for faults in system is proposed. Further, based on this model, a new method for fault detection and location in nonlinear systems is developed. The method extracts fuzzy rules by fuzzy cluster algorithms to perform fault diagnosis. It can be still efficient when there exist noise and model error. Finally, the simulation results demonstrate the effectiveness and feasibility of the proposed method. |
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