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《传动技术》 1999-01
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Fuzzy Information Processing And Its Application In Fault Diagnosis

SJTU Huang Anya Chen Zhaoneng Zhu Jimei  
This paper applies the method of fuzzy information processing to the construction of typical samples in large sample fault diagnosis. Typical diagnosis samples of a fluid power system are constructed by the theory of information diffusion. The samples help to get short training and reasonable diagnosis results in a diagnostic meural network.
【Fund】: 国家自然科学基金
【CateGory Index】: TP206.3
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【References】
Chinese Journal Full-text Database 1 Hits
1 HUANG Chong-fu, ZHANG Jun-xiang, LIU Jing(Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education of China,Institute of Resource Sciences, Beijing Normal University, Beijing 100875, China);Applications of Fuzzy Information Optimization Technology[J];信息与控制;2004-01
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 WANG Xinzhou 1 (1 Projects and Consulting Office, WTUSM, 129 Luoyu Road, Wuhan, China, 430079) [FK(W16。40ZQ];Adjustment of Leveling Network by Information Spread Estimation[J];武汉测绘科技大学学报;2000-05
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【Secondary References】
Chinese Journal Full-text Database 8 Hits
1 WANG Ying;ZHANG Qiang;HAN Lanying;Institute of Arid Meteorology,China Meteorological Administration,Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province,Key Laboratory of Arid Climate Change and Disaster Reduction of CMA;College of Atmospheric Sciences,Lanzhou University;Northwest Regional Climate Center;;Risk Characteristics of Flood and Drought Disaster in Southern China Based on the Information Diffusion Theory[J];干旱气象;2016-06
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