| 故障诊断的信息融合方法 |
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| 引用本文： | 朱大奇,刘永安.故障诊断的信息融合方法[J].控制与决策,2007,22(12):1321-1328. |
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| 作者姓名： | 朱大奇 刘永安 |
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| 作者单位： | 1. 上海海事大学,信息工程学院,上海,200135
2. 江南大学,智能控制研究所,江苏,无锡,214122 |
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| 基金项目： | 国家863计划专题项目（2006AA092210）;国家自然科学基金项目（50775136）. |
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| 摘 要： | 对基于信息融合的故障诊断方法进行综述．首先简要阐述信息融合的基本概念以及信息融合与故障诊断的关系；然后介绍贝叶斯定理融合故障诊断、模糊融合故障诊断、证据理论融合故障诊断、神经网络融合故障诊断和集成信息融合故障诊断方法的诊断原理与步骤。并分析其特点和局限性；最后给出了信息融合故障诊断研究的若干发展方向．
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| 关 键 词： | 故障诊断 模糊融合 证据理论 神经网络 信息融合 |
| 文章编号： | 1001-0920（2007）12-1321-08 |
| 收稿时间： | 2006-10-08 |
| 修稿时间： | 2006-12-26 |
Information fusion method for fault diagnosis |
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| ZHU Da-qi,LIU Yong-an.Information fusion method for fault diagnosis[J].Control and Decision,2007,22(12):1321-1328. |
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| Authors: | ZHU Da-qi LIU Yong-an |
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| Abstract: | An overview of the fault diagnosis method based on information fusion is presented. Firstly, the basic theory of information fusion and the relation between information fusion and fault diagnosis are introduced briefly. Then some methods of information fusion for fault diagnosis including Bayesian theory fusion, fuzzy theory fusion, evidence theory fusion and integrated information fusion are discussed. The characteristics and limitations of these information fusion methods for fault diagnosis are analyzed. Finally, the main development trend of information fusion method for fault diagnosis is given. |
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| Keywords: | Fault diagnosis Fuzzy fusion Evidence theory Neural network Information fusion |
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