基于SABO-VMD的数控机床元动作单元故障可诊断性评价

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中图分类号：TH17

DOI：10.3969/j.issn.1004-132X.2025.08.013

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Abstract： This paper introduced an evaluative approach to gauge the complexity of fault diagnosis within meta actuation units. The methodology commences with the decomposition of fault signals from these units，utilizing a VMD technique refined by SABO. The processes included the applications of a Kurtosis-based criterion to select pertinent intrinsic mode functions （IMFs），culminating in the creation of a feature vector grounded in envelope entropy. The evaluative task then pivoted on employing Cosine distance as a measure of similarity，recasting the fault diagnosability problems into one of assessing the likeness of vibration signal feature vectors across varying fault conditions. A diagnosability evaluation matrix for the meta actuation units was formulated，which layed the foundation fora diagnostic index.It is concluded with an empirical validation using a worm gear-based meta actuation unit；the findings confirm the method’s efficacy in quantitatively gauging the diagnosability of diverse fault patterns.

Key words： meta actuation unit； fault diagnosability； subtraction-average-based optimizer（SABO）; variational mode decomposition（VMD）

0 引言

数控机床作为制造业核心，其维护和效率是关键指标。（剩余15271字）