Abstract:Computer numerical control (CNC) machine tools are typical repairable electro-hydraulic mechanical systems. Repair activities do not return the machine tool to like-new conditions, but to some intermediate state of general repair. A superposed log-linear proportional intensity model (S-LPIM) was used here to model the general repair state of machine tools using a least squares parameter estimation method. A failure intensity model was used to calculate a reliability evaluation index for the CNC machine tool with the failure probability and repair efficiency of the CNC machine tool evaluated based on the likelihood ratio test method. Tests of the reliability of three CNC machining centers verified that the S-LPIM model can fit the failure rate bathtub curve of machine tools and quantitatively describe the effect of maintenance activities on the machine tool reliability.
朱斌, 王立平, 吴军, 赖寒松. 面向不完全维修数控机床的可靠性建模与评估[J]. 清华大学学报(自然科学版), 2022, 62(5): 965-970.
ZHU Bin, WANG Liping, WU Jun, LAI Hansong. Reliability modeling and evaluation of CNC machine tools for a general state of repair. Journal of Tsinghua University(Science and Technology), 2022, 62(5): 965-970.
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