Title :
Research on reliability prediction based on weighted Elman network
Author :
Tian, Xia ; Song, Wenyuan ; Bai, Yongsheng ; Ma, Lun
Author_Institution :
Dept. of Manage. Eng., Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
A precise reliability prediction of manufacture can help discover a series of problems that may be found during its lifetime as soon as possible, which may lead to an easier control to the lifecycle. A weighted Elman network and its algorithm are studied in this paper. The predictive model of reliability based on weighted Elman network can reduced the forecasting error effectively.
Keywords :
life testing; recurrent neural nets; reliability; forecasting error reduction; lifecycle; predictive reliability model; reliability prediction; weighted Elman network; Couplings; Maintenance engineering; Mathematical model; Predictive models; Reliability; Training; Vectors; neutral network; predictive model; reliability prediction; weighted Elman network;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246335
