Study on Reliability Modeling of NC Machine Tool Based on Self-expansion Method

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Zhang, Hai-Bo^1 ; Nie, Meng^1

School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin

132012, China^1

关键词: Bootstrap samplings;    Expansion methods;    Failure data;    Fault data;    NC machine tools;    Relative errors;    Reliability model;    research methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052071/pdf
DOI  :  10.1088/1757-899X/563/5/052071

来源: IOP

【 摘 要 】

With the improvement of the reliability of NC machine tools, it is becoming more and more difficult to obtain a large number of fault data. To deal with this problem, the improved Bootstrap sampling method is proposed. The failure data, which is gained by using seven a type of NC machine tools to monitor failure data for half year, is used respectively for the improved Bootstrap sampling method and the classic series research method. The results have been analyzed and calculated, and show that the Bootstrap sampling method's relative error is obviously lower than the classic series research method's. The improved Bootstrap sampling method is proved to be feasible in reliability modeling.