| 一种基于粗糙集理论的设备故障诊断方法 |
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| 引用本文： | 高晓康,李翠玲,施雨辰. 一种基于粗糙集理论的设备故障诊断方法[J]. 上海应用技术学院学报：自然科学版, 2006, 6(3): 160-162,171 |
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| 作者姓名： | 高晓康 李翠玲 施雨辰 |
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| 作者单位： | 上海应用技术学院机械与自动化工程学院，上海海事大学电气工程系，上海海事大学交通运输学院 上海200235，同济大学机械工程学院，上海200092，上海200135，上海200135 |
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| 摘 要： | 粗糙集理论是一种处理模糊和不确定知识的数学工具。本文根据粗糙集理论,对设备的振动故障诊断决策表进行属性约简,以提取故障识别的重要属性,降低决策表的冗余性。分析表明,粗糙集理论应用于故障诊断可得到更清晰、简明的诊断规则。
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| 关 键 词： | 故障诊断 粗糙集 决策表 属性约简 |
| 文章编号： | 1671-7333（2006）03-0160-03 |
| 收稿时间： | 2006-06-06 |
| 修稿时间： | 2006-06-06 |
A Method of Fault Diagnosis for Equipment Based on Rough Set Theory |
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| GAO Xiao-kang,LI Cui-ling,SHI Yu-chen. A Method of Fault Diagnosis for Equipment Based on Rough Set Theory[J]. Journal of Shanghai Institute of Technology: Natural Science, 2006, 6(3): 160-162,171 |
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| Authors: | GAO Xiao-kang LI Cui-ling SHI Yu-chen |
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| Abstract: | Rough set theory is a new mathematical tool to deal with vagueness and uncertainty.Based on that theory,this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.The important attributes of fault identification were extracted so as to decrease the redundancy of a decision-making table.The analysis shows that more clear and concise diagnostic rules could be acquired by using rough set theory. |
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| Keywords: | fault diagnosis rough set decision-making table attribute reduction |
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