A new intelligent diagnostic method for machine maintenance
Guo QJ(郭前进); Yu HB(于海斌); Xu AD(徐皑冬)
2006
会议名称4th International Conference on Machine Learning and Cybernetics
会议日期August 18-21, 2005
会议地点Guangzhou, China
页码760-769
通讯作者郭前进
中文摘要Fuzzy neural networks display good capacity for self-adaptation and self-learning, and wavelet transformation or analysis reveals time frequency location characteristics and a multi-scale ability. Inspired by these advantages, a new intelligent diagnostic method for machine maintenance, wavelet fuzzy neural network (WFNN), is proposed in this paper. This new intelligent diagnostic method uses wavelet basis function as a membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability. An on-line learning algorithm is applied to automatically construct the wavelet fuzzy neural network. There are no rules initially in the wavelet fuzzy neural network, they are created and adapted as on-line learning proceeds via simultaneous structure and parameter learning. The advantages of this learning algorithm are that it converges quickly and the obtained fuzzy rules are more precise. The results of simulation show that this new intelligent diagnostic method has the advantages of a faster learning rate and higher diagnostic precision.
收录类别SCI ; EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Systems, Man & Cybernet TCC, Hong Kong Polytechn Univ, Hebei Univ, S China Univ Technol, Chongqing Univ, Sun Yatsen Univ, Harbin Inst Technol, Int Univ Germany
会议录ADVANCES IN MACHINE LEARNING AND CYBERNETICS
会议录出版者SPRINGER-VERLAG
会议录出版地BERLIN
语种英语
ISSN号0302-9743
ISBN号3-540-33584-6
WOS记录号WOS:000238282100079
研究领域[WOS]Computer Science
WOS标题词Science & Technology ; Technology
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8046]  
专题沈阳自动化研究所_工业信息学研究室_工业控制系统研究室
推荐引用方式
GB/T 7714
Guo QJ,Yu HB,Xu AD. A new intelligent diagnostic method for machine maintenance[C]. 见:4th International Conference on Machine Learning and Cybernetics. Guangzhou, China. August 18-21, 2005.
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