| 利用神经网络扩充数控机床可靠性数据 |
| |
| 引用本文： | 贾志新,张宏斌,郗安民.利用神经网络扩充数控机床可靠性数据[J].吉林大学学报(工学版),2011,41(2):403-407. |
| |
| 作者姓名： | 贾志新 张宏斌 郗安民 |
| |
| 作者单位： | 1. 北京科技大学,机械工程学院,北京,100083
2. 北京科技大学,机械工程学院,北京,100083;陆军航空兵学院,机载设备系,北京,101114 |
| |
| 基金项目： | 国家自然科学基金项目(50875021); “十一五”国家重大科技专项(2009ZX04014-011) |
| |
| 摘 要： | 针对数控机床可靠性研究过程中可靠性数据收集周期长、费用较高的问题,提出了基于人工神经网络理论和算法的数控机床可靠性数据扩充方法。在对收集的少量可靠性数据进行初步分析的基础上,对人工神经网络网络进行训练,并应用训练后的神经网络对原始可靠性数据进行扩充。扩充后的可靠性数据与原始可靠性数据具有相同的失效分布规律。对扩充后的可靠性数据通过应用最小二乘法和K-S检验法进行分析,可以确定数控机床可靠性数据分布模型。以9台某型号数控车床3个月的可靠性数据为例证明该方法能够在可靠性数据较少的情况下实现对数控机床可靠性数据分布模型的确定,同时分布模型的拟合更加准确。
|
| 关 键 词： | 机床 数控机床 人工神经网络 可靠性数据 |
Expanding reliability data of NC machine tool based on neural network |
| |
| JIA Zhi-xin,ZHANG Hong-bin,XI An-min.Expanding reliability data of NC machine tool based on neural network[J].Journal of Jilin University:Eng and Technol Ed,2011,41(2):403-407. |
| |
| Authors: | JIA Zhi-xin ZHANG Hong-bin XI An-min |
| |
| Affiliation: | JIA Zhi-xin1,ZHANG Hong-bin1,2,XI An-min1(1.School of Mechanical Engineering,University of Science & Technology Beijing,Beijing 100083,China,2.Department of Airborne Equipment,Army Aviation Institute,Beijing 101114,China) |
| |
| Abstract: | Aiming at the fact that the collection of reliability data in reliability research of numerical control(NC) machine tool is time-consuming and costly,a reliability data expansion method was proposed based on artificial neural network.An artificial neural network was trained with a few reliability data that collected in-situ and analyzed primarily,and the trained network was used to expand the collected data.The failure distribution of the expanded reliability data was the same with the original ones.The rel... |
| |
| Keywords: | machine tool numerical control machine tool artificial neural network reliability data |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
