基于模糊聚类的水电机组轴心轨迹多重分形特征识别
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摘要
本文应用多重分形特征谱来描述水电机组轴心轨迹图形特征,结合常见水电机组轴心轨迹形状探讨了轴心轨迹多重分形谱特征提取实现方法;利用模糊C-均值聚类方法对多种故障的轴心轨迹多重分形特征值进行了聚类识别,其结果表明该方法可在多轴心轨迹样本情况下达到很好的分类识别,符合水电机组智能诊断的需要。
In this paper,multi-fractal spectrum is used to represent the graphics features of axis orbits of hydropower unit and to achieve feature extraction from common orbit shapes of unit axis.Fuzzy c-means clustering method is used to identify the multi-fractal characteristics of clustering variety of fault value of orbits.Results show that this method produces better classification identification of the multi-axis samples and meets the needs of intelligent diagnosis of hydropower generating units.
In this paper,multi-fractal spectrum is used to represent the graphics features of axis orbits of hydropower unit and to achieve feature extraction from common orbit shapes of unit axis.Fuzzy c-means clustering method is used to identify the multi-fractal characteristics of clustering variety of fault value of orbits.Results show that this method produces better classification identification of the multi-axis samples and meets the needs of intelligent diagnosis of hydropower generating units.
引文
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[2]江志农,李艳妮.旋转机械轴心轨迹特征提取技术研究[J].振动、测试与诊断,2007,27(2):98-101.JIANG Zhinong,LI Yanni.Research on Feature Extraction of Shaft Orbit for Rotating Machine[J].Journal of Vibration;Measurement&Diagnosis,2007,27(2):98-101.(in Chinese)
[3]钟明寿,龙源,谢全民,李兴华.基于分形盒维数和多重分形的爆破地震波信号分析[J].振动与冲击,2010,29(1):7-12.ZHONG Mingshou,LONG Yuan,XIE Quanmin,LI Xinghua.Signal analysis for blasting seismic wave based on fractal box-dimensionand multi-fractal[J].Journal of Vibration and Shock,2010,29(1):7-12.(in Chinese)
[4]李国宾,关德林.振动信号多重分形分析改进算法[J].测试技术学报,2006,20(6):543-548.LI Guobin,GUAN Delin.The Improved Multifractal Analysis Algorithm for Vibration Signal[J].Journal of Test And MeasurementTechnology,2006,20(6):543-548.(in Chinese)
[5]鄂春盛,蒋东翔.分形几何及其在汽轮机组振动故障征兆提取中的应用[J].汽轮机技术,1999,41(6):321-324.E Chunsheng,JIANG Dongxiang.Fhactal Geometry and Its Applications in Vibration Failure Symptom Abstraction of the SteamTurbine[J].Turbine Technology,1999,41(6):321-324.(in Chinese)
[6]徐玉秀,钟建军,闻邦椿.旋转机械动态特性的分形特征及故障诊断[J].机械工程学报,2005,41(12):186-189.XU Yuxiu,ZHONG Jianjun,WEN Bangchun.Fractal Fault Diagnosis And Classification to Modal Characteristic of Rotor System[J].Chinese Journal of Mechanical Engineering,2005,41(12):186-189.(in Chinese)
[7]石博强,申炎华.机械故障诊断的分形方法——理论与实践[M].北京:冶金工业出版社,2001.SHI Boqiang,SHEN Yanhua.Fractal Method ofmachinery fault diagnosis—Theory and Practice[M].Beijing:Metallurgical Indurstry Press,2001.(in Chinese)
[8]Estivill-Caslro V.Why so many clustering algorithms-A position paper[J].SIGKDD Explorations,2002,4(1):65-75.
[9]王宏伟,詹荣开,贺汉根.基于模糊聚类的改进模糊辨识方法[J].电子学报,2001,4(4):436-438.WANG Hongwei,ZHAN Rongkai,HE Hangen.Improving Fuzzy Identifying Method Based on Fuzzy Clustering[J].Acta Electronica Sinica,2001,4(4):436-438.(in Chinese)
[10]高新波.模糊聚类分析及其应用[M].西安:西安电子科技大学出版社,2004.GAO Xinbo.Fuzzy Cluster Analysis and Application[M].Xian:Xidian University Press,2004.(in Chinese)
[11]范九伦,吴成茂,丁夷.基于样本最大分类信息的聚类有效性函数[J].模糊系统与数学,2001,15(3):69-74.FAN Jiulun,WU Chengmao,DING Yi.A Cluster Validity Function Based on Maximum Classification Information[J].Fuzzy Systems and Mathematics,2001,15(3):69-74.(in Chinese)
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