Reliability modeling and evaluation of CNC machine tools for a general state of repair

ZHU Bin; WANG Liping; WU Jun; LAI Hansong

doi:10.16511/j.cnki.qhdxxb.2022.21.002

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (5) : 965-970. DOI: 10.16511/j.cnki.qhdxxb.2022.21.002

MECHANICAL ENGINEERING

Reliability modeling and evaluation of CNC machine tools for a general state of repair

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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.

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general state of repair / reliability modeling / least squares method / likelihood ratio test

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ZHU Bin, WANG Liping, WU Jun, LAI Hansong. Reliability modeling and evaluation of CNC machine tools for a general state of repair[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(5): 965-970 https://doi.org/10.16511/j.cnki.qhdxxb.2022.21.002

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