Research in Reliability Modeling of WEDM Based on Neural Network
Because of the small size of the Wire-Electronic Discharging Machine (WEDM) reliability data, the reliability model of WEDM can not be set up accurately by the traditional refiability modeling methods. Therefore, the neural network is used in this paper to solve this problem. The algebraic algorithm, a new algorithm of neural network, is used in the proposed method. Based on statistically analyzing the reliability data of WEDM, the general idea and basic method is proposed for setting up reliability model by neural network, and a new way of reliability modeling is found out for WEDM reliability modeling. After an example is calculated, it is shown that the calculation time of the proposed method is 3 times, and the mean absolute error of the proposed method is 0.0156, as well as the mean absolute error of the traditional method is 0.0703. It is proved that the model which is set up by neural network can map the actual data more accurate than the traditional model. It has a good reference to WEDM reliability researching.
reliability modeling WEDM neural networ algebraic algorithm
Zhang Hong-bin Jia Zhi-xin
School of Mechanical Engineering University of Science and Technology Beijing Beijing,China Departme School of Mechanical Engineering University of Science and Technology Beijing Beijing, China
国际会议
张家界
英文
277-280
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）