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Intelligent fault diagnosis system for new assembly transmission
Shang WL(尚文利); Zhou XF(周晓锋); Yuan J(袁杰); Han ZH(韩忠华); Shi HB(史海波)
作者部门工业控制网络与系统研究室
会议名称2012 International Conference on Modelling, Identification and Control, ICMIC 2012
会议日期June 24-26, 2012
会议地点Wuhan, China
会议主办者IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology
会议录名称Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012
出版者IEEE Computer Society
出版地Washington, DC, United States
2012
页码305-310
收录类别EI
EI收录号20124015531605
产权排序1
ISBN号978-0-9567157-1-5
关键词Fault Tolerant Computer Systems Feature Extraction Neural Networks Transmissions
摘要The paper introduces an intelligent fault diagnosis system for new assembly transmission. Order analysis method is used to analysis and process vibration signal of automotive transmission. After the initial set of feature vectors is obtained, improved genetic search strategy is used to select feature, so as to reduce the dimension of feature vector set, and feature vector sets selected are input into the BP neural network for fault identification and classification of assembly transmission. A large number of data are collected from industrial site and analyzed, validity and accuracy of proposed algorithm is verified.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10118
专题工业控制网络与系统研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
2.Graduate School of Chinese Academy of Science, Beijing, China
3.Xinjiang University, Xinjiang, China
4.Shenyang Jianzhu University, Shenyang, China
推荐引用方式
GB/T 7714
Shang WL,Zhou XF,Yuan J,et al. Intelligent fault diagnosis system for new assembly transmission[C]//IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology. Washington, DC, United States:IEEE Computer Society,2012:305-310.
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