工矿自动化2017，Vol.43Issue(12)：94-98,5.DOI:10.13272/j.issn.1671-251x.2017.12.019
采煤机齿轮箱故障诊断方法
Fault diagnosis method of shear gearbox
摘要
Abstract
For the problem that insufficient lubrication or abnormal abrasion easily occurs during shear gearbox operating,a fault diagnosis method of shearer gearbox based on partial least squares regression was proposed.The Fe content,viscosity,acid value and water content of lubricating oil in shearer gearbox were taken as detection indexes,and a partial least squares regression model was established on the basis of data initialization process and principal component extraction,which could express abrasion of shear gearbox.The model was tested by the actual operation state diagnosis of shear gearbox in a coal mine.The test result shows that error between actual measured value of Fe content in lubricating oil and the predicted value by the model is smaller under normal abrasion conditions of the shear gearbox,but error between the two value is larger under fault conditions,so as to correctly judge the abrasion and fault state of the gearbox.关键词
煤炭开采/采煤机/齿轮箱/润滑油/故障诊断/油液分析/偏最小二乘回归Key words
coal mining/shearer/gearbox/lubricating oil/fault diagnosis/oil analysis/partial least squares regression分类
矿业与冶金引用本文复制引用
都玉辉,庞新宇,杨兆建..采煤机齿轮箱故障诊断方法[J].工矿自动化,2017,43(12):94-98,5.基金项目
国家自然科学基金山西煤基低碳联合基金资助项目(U1510116) （U1510116）
山西省科技基础条件平台建设资助项目(201605D121032). （201605D121032）
