Reliability Modeling of NC Machine tools Based on Artificial Intelligence

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Li, Guofa^1 ; Zhu, Hongxiang^1 ; He, Jialong^1 ; Huo, Yongchao^1 ; Zhang, Jiancheng^1

College of Mechanical Science and Engineering, Jilin University, Changchun, Jilin

130022, China^1

关键词: Fault prediction;    Intelligent fault diagnosis;    Least squares support vector machines;    Manufacturing industries;    NC machine tools;    Reliability Evaluation;    Reliability model;    Remote maintenance;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012057/pdf
DOI  :  10.1088/1757-899X/435/1/012057

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The level of reliability for NC machine tools represents the development level of the country's manufacturing industry, and its reliability modeling is very important. In order to improve the reliability of NC machine tools, this paper proposes the application of artificial intelligence model for NC machine toolreliability. Firstly, the time history of the NC machine tool reliability is analyzed. Secondly, a reliability evaluation framework based on neural network and bayesian network, intelligent fault diagnosis based on deep learning, and intelligent fault prediction framework based on least squares support vector machine (LS-SVM) are established to achieve remote maintenance of NC machine tools. Finally, with the background of big data, the development vision about the application of artificial intelligence model for NC machine toolreliability is summarized and forecasted.