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 reliability data distribution model of the NC machine tool was determined by the analyses of the expanded data by the least square method and the KS test method. Taking the reliability data of 9 NC lathes of the certain type in 3 months as an example, it was demonstrated that the proposed method can be used to determine the reliability data distribution model of the NC machine tool based on a few reliability data, and the fitting precision is good.

Key words: machine tool, numerical control machine tool, artificial neural network, reliability data