Application of artificial intelligence technology in CNC system
by Chunhui Dong; Cheng Zhong
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 39, No. 4, 2022

Abstract: The purpose of this paper is to study the application of artificial intelligence technology in CNC systems. The experimental results show that in the case of small samples, the reliability distribution model of CNC machine tools is not unique. The reliability model of CNC machine tools can be uniquely determined after the ANN model expansion data and the KS test method are used. There is a good balance between efficiency and convergence performance. Comparing the results of all the solution models, the relative mean square error of the 2-fold 3-parameter Weibull distribution after the expansion of the ANN model is the smallest, and its value is 0.0428, indicating that the method is feasible to solve the reliability distribution model of CNC machine tools and can produce more accurate results.

Online publication date: Wed, 23-Mar-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com