Abstract
AbstractTraditional machine tool reliability modeling methods take static parts as the research object, ignoring the characteristic that the function and performance of computer numerical control (CNC) machine tool are ultimately driven by its most basic actions, and the traditional reliability modeling methods do not fully consider the randomness of machine tool failure. In view of this, this paper gave an improved four‐parameter nonhomogeneous Poisson process reliability modeling method based on meta‐action (MA), and a comprehensive method of system reliability was presented. A CNC machine tool made in China was taken as an example, and the reliability model of MA and the whole machine were built by the proposed method. The proposed method was compared with other methods by Akaike information criterion and Bayesian information criterion, and the method proposed in this paper was proved to be better. The reliability indexes of the system were simulated, and then the general trend of system reliability indexes was obtained by least squares support vector machines. The results verify the applicability and validity of this method, and lay a foundation for further research on the machine tool reliability based on metamotion.
Published Version
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