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CH撲『ESE JOURNAL OF MECHANICAL ENGINEERn、iG 、，0lI 24，No．3，20ll DOI：10．3∞l／cJME．2011．03．466，availablc饑hne at wWⅣ．cjm印ct．com；w帆cjm∞ct．co虬∞ Fault Diagnosis Method Based on System—phenomenon—fault 1陌ee CHEN Guoron91，2一，Y=州Pin91，YI Runzhon91，aIld LⅣFeil 1 S妞te K緲L口bor口芻D穢巧Mecll口ni∞l 1婦瑚mission．Chongqing己玩ive凇鯫C}l傭gqi鴨400044．Cili船 2School of Electronic JOHN D A a fault tree analysis strategy using binary decision diagrams 2002(01) 4.DAI Hongyuan;LIANG Shuhai The application of fault Tree analysis in diesel engine remote control system circuit fault diagnosis 2008(02) 5.SHAO Yanfeng;XUE Hongjun The application of fault tree analysis in system fault diagnosis 2007(01) 6.YUAN Shengfa;CHU Fulei;HE Yongyong Multi-fault diagnosis for turbo-pump based on mesh support vector machines[外文期刊] 2007(04) 7.LIU Zhansheng;DOU Wei;WANG Donghua Rotating machinery fault diagnosis combination of method based on genetic algorithm[外文期刊] 2007(10) 8.GE Zhexue;YANG Yongmin;HU Zheng Unscented particle filter and log likelihood ration based fault diagnosis of nonlinear system in non-Gaussian noises 2007(10) 9.LEE A J T;HONG R W;KO W M Mining spatial asso-ciation rules in image databases 2007(07) 10.MALONE J;MCGARRY K;BOWERMAN C Automated trend analysis of proteomics data usinganintelligent data mining architecture[外文期刊] 2006(01) 11.YANG Jian;MA Xiaolan;YANG Dengqi Diagnosis and treatment expert system of Chinese traditional medicine using case-based reasoning 2008(02) 12.DEMSAR U Investigating visual exploration of geospatial data:An exploratory usability experiment for visual data mining[外文期刊] 2007(05) 13.WANG C H Recognition of semiconductor defect patterns u-sing spatial filtering and spectral clustering 2008(03) 14.BEAUBOUEF T;FREDERICK E P;ROY L Spatial data methods and vague regions:A rough set approach[外文 期刊] 2007(01) 15.SPIELMAN S E;THILL J C Social area analysis,data mining,and GIS[外文期刊] 2008(02) 16.ESTIVILL-CASTRO V;LEE I Clustering with obstacles forgeographical data mining[外文期刊] 2004(1-2) 17.GOULERMAS J Y;LIATISIS P;ZENG Xiaojun Density-driven generalized regression neural networks (DD- GRNN) for function ap-proximation[外文期刊] 2007(06) 18.JOHN S T;CRISTIANINI N Kernel methods for pattern analysis 2004 本文鏈接：