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| 基于证据理论的免疫检测器在轴承故障诊断中的应用 | |
| 引用本文： | 岑健,胥布工,张清华,朱月君.基于证据理论的免疫检测器在轴承故障诊断中的应用[J].轴承,2009(8). |
| 作者姓名： | 岑健 胥布工 张清华 朱月君 |
| 作者单位： | 1. 华南理工大学,自动化科学与工程学院,广州510640;广东技术师范学院,自动化学院,广州510635 2. 华南理工大学,自动化科学与工程学院,广州510640 3. 茂名学院,计算机与电子信息学院,广东茂名525000 4. 茂名学院,计算机与电子信息学院,广东茂名525000;太原理工大学信息工程学院,太原030024 |
| 摘 要： | 针对旋转机械故障诊断的不确定性问题,提出一种基于证据理论的数据融合故障诊断方法,把5种无量纲免疫检测器的敏感因子和信息因子通过D-S联合规则联合多个证据组形成-个新的综合证据组,建立多故障特征信息融合诊断框架,充分利用不同证据体的冗余和互补故障信息,通过对不同轴承故障进行分析,结果表明,此方法能有效地减少诊断的不确定性,提高故障诊断的准确性. |
| 关 键 词： | 滚动轴承 故障诊断 信息融合 证据理论 免疫检测器 |
Application of Immune Detector in Bearing Fault Diagnosis Based on Dempster-shafer Evidential Theory |
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| CEN Jian,XU Bu-gong,ZHANG Qing-hua,ZHU Yue-jan.Application of Immune Detector in Bearing Fault Diagnosis Based on Dempster-shafer Evidential Theory[J].Bearing,2009(8). | |
| Authors: | CEN Jian XU Bu-gong ZHANG Qing-hua ZHU Yue-jan |
| Affiliation: | CEN Jian1,2,XU Bu-gong1,ZHANG Qing-hua3,ZHU Yue-jun3,4 (1.School of Automation Science , Engineering,South China University of Technology,Guangzhou 510640,China,2.School of Automation,Guangdong Polytechnic Normal University,Guangzhou 510635,3.School of Electronic Information , Computer,Maoming University,Maoming 525000,4.School of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China) |
| Abstract: | Since rotating machinery fault diagnosis problem of uncertainty,a method of data fusion fault diagnosis based on Dempster-sharfer evidential theory is proposed.Sensitivity factors and information factors of five non-dimensional immune detectors are combined by united rule and formed a new comprehensive evidence group.Multi-fault characteristic information fusion diagnosis frame is constructed,in which the redundancy and complementary information of fault diagnosis are utilized fully.The fault analysis show ... |
| Keywords: | rolling bearing fault diagnosis information fusion evidential theory immune detector |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |