基于灰色系统理论的机电一体化设备故障预测精度优化方法研究

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中图分类号：TH17;TH-39 文献标志码：A

文章编码：1672-7274（2025）07-0027-03

Research on Optimization Method for Fault Prediction Accuracy of Mechatronics Equipment Based on Grey System Theory

WANG Yanying （Jinan Engineering Vocational and Technical College，Ji'nan 25o2oo，China）

Abstract：This article focuses on the problem offault prediction for mechatronics equipment and explores in depth the accuracy optimization method based on grey system theory. It elaborates on the entire process from equipment fault feature extraction tothe construction and optimization offault prediction models based on grey system theory， including residual correction GM（1，1） model，introductionofparticle swarmoptimizationalgorithm，andapplication of parameter optimization. Experimental verification shows that the optimized model can significantly improve the accuracy offault prediction，effectivelyreduce prediction errors，and provide strong technical support for the maintenance and management of mechatronics equipment，which isof great significance for improving the reliability and stability of industrial production systems.

Keywords： greysystem theory; mechatronics integration; equipment malfunction; optimization of prediction accuracy

0 引言

机电一体化设备作为现代工业的关键组成部分，其复杂的结构与多元的运行工况使得故障预测成为一项极具挑战性的任务[1]。（剩余3793字）