基于灰色系统理论的销盘磨损量预测

Z. Xingyu, Xiaoyi Jin, Tian Peipei, Zhou Zhengzhu, Yuyi Lin
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引用次数: 0

摘要

本文以MMW-1A立式摩擦磨损试验机为测试设备,在不同润滑条件下对销盘磨损量进行了研究。本文基于灰色系统理论建立了销磨损量GM(1,1)预测模型,GM(1,1)模型由一阶微分方程中的单变量组成。将测得的销磨损量与GM(1,1)预测的销磨损量进行比较,结果表明,GM(1,1)的预测值与实验实测值非常接近,预测结果的精度很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pin on Disc Wear volume Prediction Based on Grey System Theory
This paper is a study of pin on disc wear volume, with the MMW-1A vertical friction and wear testing machine as the testing equipment, under different lubrication conditions. In this paper, the pin wear volume GM(1,1) prediction model is built based on the grey system theory, GM(1,1) the model consists of a single variable in the first-order differential equation. The pin wear volume measured compare with GM(1,1) predicted wear volume, The comparison results showed that, the predicted values by the GM(1,1) are very close to the experiment measured values, and the precision of predicted results is quite high.
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