ANALYSIS ON MEAN TIME BETWEEN FAILURE OF VIBRATOR ROLLER BASE ON ARTIFICIAL NEURAL NETWORK
Aimed at the reparable characteristic of the vibratory roller, a method of the reliability model recognition of mean time between failure of the vibratory roller based on the BP neural network was developed, and a method of parameter estimation of reliability model based on adaptive linear neural network was proposed by means of theory of artificial neural network with Matlab and reliability engineering theory. The result obtained from the simulation is better than those from the traditional method of graph for the common reliability model in engineering reliability. The distribution model and function of reliability for mean time between failure of the vibrator roller were gained by this means. In this paper, purpose is to apply the artificial intelligence to studying the reliability of the vibratory roller. The level of the model recognition and the parameter estimation of the vibratory roller is advanced.
The Vibrator Roller Mean Time Between Failure Artificial Neural Network Model Recognition Parameter Estimation
Heqing LI Qing TAN
School of Mechanical and Electrical Engineering, Center South University, Changsha 410083, China;Sch School of Mechanical and Electrical Engineering, Center South University, Changsha 410083, China
国际会议
北京
英文
902-907
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）