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The Remote Fault Intelligent Diagnosis System Based on B/S Structure

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成果类型:
会议论文
作者:
Yuehua Xiong;Jia Liu;Chunliang Zhang
作者机构:
University of South China, School of Mechanical Engineering, Hengyang, China, 421001
Guangzhou University, School of Mechanical and Electrical Engineering, Guangzhou, China, 510006
Huazhong University of Science and Technology, School of Mechanical Science and Engineering,Wuhan, C
语种:
英文
关键词:
B/S structure;Fault diagnosis;Database
年:
2012
页码:
1067-1071
会议名称:
2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)
会议论文集名称:
2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)论文集
会议时间:
2011-11-18
会议地点:
广州
会议赞助商:
广州大学
机构署名:
本校为第一机构
院系归属:
机械工程学院
摘要:
The feasibility and superiority of the remote fault diagnosis system based on B/S structure is analyzed in this paper. The B/S structure is introduced and compared with C/S structure briefly. The paper summarize frame and main function module of the remote fault diagnosis system and introduce its key technology, such as data acquisition technology, data transmission technology between server and client, intelligent diagnosis technology, database technology etc. The hybrid model of support vector machine (SVM) and hidden markov models(HMM) is used as a intelligent diagnosis method of the system...

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