Recognition of Reliability Model of Vibratory Roller Based on Artificial Neural Network

摘要：

Aimed at the reparable characteristic of the vibratory roller, a method of recognition of the reliability model of the vibratory roller based on the BP neural network was proposed, by means of theory of artificial neural network with Matlab and reliability engineering theory. The result obtained from the testing shows recognition rate is satisfactory. The distribution model of the vibrator roller shall gained by this means if the life data of the vibrator were known. An example is presented to validate this method. In this paper, purpose is to apply the artificial intelligence to studying the reliability of the vibratory roller.

作者: Heqing LI Qing TAN

作者单位: 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

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 231-234

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）