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	Closed loop dynamic fuzzy neural network for real-time lifetime forecasting
	Li, Wen Wang ; Zheng, Gao Feng ; Zheng, Jian Yi ; Zheng GF(郑高峰) ; Zheng JY(郑建毅)
	2013
关键词	Feedback Fuzzy neural networks Industrial research Manufacture Mathematical models Neural networks
英文摘要	Conference Name:2013 3rd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2013. Conference Address: Guangzhou, China. Time:September 25, 2013 - September 26, 2013.; Real-time lifetime forecasting has extensive application in the fields of machine system manufacturing and integration, which is a good way to promote the dependability and operation stability. In this paper, a closed loop adaptive forecasting model with feedback channel of state monitoring information is built up for the real-time lifetime forecasting. The difference of working state between prediction and monitoring information is used to evaluate the prediction performance. The dynamic fuzzy neural network introduced into the prediction model, in which the fuzzy rule, membrane function and structure parameters can be adjusted according to the evaluate results. A service lifetime testing experiment of gear case is utilized to validate the prediction model. The proposed model achieved reasonable precision with an error of less than 1 hour between the failure time of experimental results and the forecasting remaining lifetime. The adaptive prediction method can deal with the real-time lifetime forecasting for multiple factors and nonlinear system without specific parameters structure. ? (2014) Trans Tech Publications, Switzerland.
语种	英语
出处	http://dx.doi.org/10.4028/www.scientific.net/AMR.834-836.1074
出版者	Trans Tech Publications Ltd
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86188]
专题	物理技术－会议论文
推荐引用方式 GB/T 7714	Li, Wen Wang,Zheng, Gao Feng,Zheng, Jian Yi,et al. Closed loop dynamic fuzzy neural network for real-time lifetime forecasting. 2013-01-01.

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