基于实时退化量的数控机床状态维修检测间隔期决策研究

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Abstract Traditional state detection tends to cause the problem of over-detection. To solve this problem, a method to determine the interval of NC machine tool state detection based on real-time degradation is proposed. Describe the degradation process of CNC machine tools based on the Gamma process, and combine the risk of failures to give the state test interval in the early stage of the degradation process. The expected remaining life when the system state is at the defect threshold was given and used to constrain the state detection interval in the later stage of the degradation process. Thus, a two-stage non-equal period state detection interval decision model is established. Take the machining accuracy degradation process of the CNC machine tool spindle as an example to verify the proposed method, and then compare and analyze it with equal interval state detection and reliability-based state detection methods. The results show that the proposed method can greatly reduce the number of inspections, reduce maintenance costs, and avoid excessive inspections. The research results can provide a reference for the reasonable determination of the state detection interval.

Key words： real-time degradation inspection intervals Gamma process condition-based maintenance CNC machine tool

Received: 27 July 2021 Published: 28 February 2023

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	Articles by authors
	REN Li’na
	CHEN Jintao
	LI Jianhua

Cite this article:

REN Li’na,CHEN Jintao,LI Jianhua. A study on the inspection interval decision of CNC machine tools condition-based maintenance based on real-time degradation[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(4): 81-87.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I4/81

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