| 基于粗糙集理论的机械状态监测与故障诊断 |
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| 引用本文： | 曲晓慧,郑利庆,安钢. 基于粗糙集理论的机械状态监测与故障诊断[J]. 测试技术学报, 2009, 23(2) |
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| 作者姓名： | 曲晓慧 郑利庆 安钢 |
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| 作者单位： | 海军航空工程学院,电子信息工程系,山东,烟台,264001;烟台东方电子信息产业股份有限公司,山东,烟台,264001;装甲兵工程学院,机械工程系,北京,100072 |
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| 摘 要： | 以机械状态监测和故障诊断为背景,利用粗糙集的属性约简功能,研究了基于粗糙集理论的参数优选在柴油机状态监测中的应用.结果表明:利用粗糙集约简后,信息没有丢失,但减少了需测量的参数,而且为后续的融合诊断减少了计算量.研究了基于粗糙集的灰色关联分析在齿轮状态监测中的应用,并将其与一般的灰色关联方法进行了比较,结果表明诊断的精度得到了提高.
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| 关 键 词： | 粗糙集 参数优选 状态监测 故障诊断 |
Mechanical Condition Monitoring and Fault Diagnosis Based on Rough Set Theory |
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| QU Xiaohui,ZHENG Liqing,AN Gang. Mechanical Condition Monitoring and Fault Diagnosis Based on Rough Set Theory[J]. Journal of Test and Measurement Techol, 2009, 23(2) |
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| Authors: | QU Xiaohui ZHENG Liqing AN Gang |
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| Abstract: | Taking the condition monitoring and fault diagnosis as the research background,the paper first presents the application of parameter choice based on rough set to the condition monitoring of diesel engine by using the attribute reduction function of rough set theory.The result shows that the information can't be lost after the reduction and the parameters are reduced as well as the next fusion calculation can be simplified.Secondly,the application of gray relation analysis based on rough set to the condition monitoring of gears is studied,and the comparison between the usual gray relation and the improved gray relation is made.The result shows that the diagnosis precision can be improved. |
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| Keywords: | rough set theory parameter choice condition monitoring fault diagnosis |
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