This review analyzes challenges and advancements in reliability technology for high-end CNC machine tools, suggesting future research directions.
After several years of research on the reliability of CNC machine tools, many theories and technologies have been developed, which have improved the reliability level of economical CNC machine tools produced in China. However, the relevant methods have not significantly promoted the reliability of high-end CNC machine tools, and there are limitations and deficiencies that need to be solved urgently. This paper analyzes the unique challenges posed by the inherent characteristics of high-end CNC machine tools to reliability research and systematically reviews the research trends in this field in recent years. It focuses on analyzing the research progress in the development of accelerated degradation testing, failure mechanism analysis, reliability modeling for small sample datasets, and fault diagnosis/intelligent maintenance technologies integrated with deep learning to adapt to the aforementioned characteristics. It also points out the current research deficiencies in design principles, load spectra for new components, and maintenance support. Finally, it provides forward-looking suggestions for the future development of CNC machine tool reliability research, serving as a reference for researchers and practitioners.
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Li et al. (2025) studied this question.
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