Parameter Estimation of Reliability Model of Hydraulic System for Vibratory Roller Based on Adaptive Linear Neural Network

摘要：

Aimed at reliability model of hydraulic system of the vibratory roller, combined adaptive linear neural network technique with system reliability engineer theory, a way for parameter estimation of reliability model based on adaptive linear neural network was developed. The model parameters and function of reliability for the first fault time of hydraulic system of the vibratory roller was gained by this means. The parameters estimation of the reliability model could quickly obtained if the life data of the known probability distribution was input to the model of the adaptive linear neural network. Compared with graphic method and analytic method, this method was operated more easily in the engineering.

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: 218-221

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）