Reliability Evaluation Method of Motorized Spindle Based on Dual-source Data

As one of the key functional components of the CNC machine tool, the motorized spindle seriously affects the reliability level of the CNC machine tool. At present, the researches on reliability evaluation methods of motorized spindles based on degradation data are still in the preliminary stage, and there are some problems such as single data source and difficult calculation, which affect the accuracy of reliability evaluation results. To solve these problems, this paper presents a novel reliability evaluation method of motorized spindles based on dual-source data. Taking the motorized spindle of the CNC machine tool as the research object, the degradation models based on nonlinear Wiener process are established according to the degradation data of laboratory reliability bench tests and field data respectively. In order to fuse the laboratory data and field data into dual-source data, a reliability model of the performance degradation of the motorized spindle is established based on the Copula function, which realizes accurate and efficient reliability evaluation of the motorized spindle. The effectiveness of the proposed method is verified by the degradation tests of the motorized spindles.