Study on the Online Wear Condition Monitoring Method for Mining Reducer based on Wear Particle Feature

Wu Huling

doi:10.16578/j.issn.1004.2539.2017.02.037

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Study on the Online Wear Condition Monitoring Method for Mining Reducer based on Wear Particle Feature

更新时间：2022-10-20

- Study on the Online Wear Condition Monitoring Method for Mining Reducer based on Wear Particle Feature
- Vol. 41, Issue 2, Pages: 177-180(2017)
- 作者机构：
  
  1. 陕西国防工业职业技术学院
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2017.02.037
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[1]吴呼玲.基于磨粒特征的矿用减速器磨损状态在线监测方法研究[J].机械传动,2017,41(02):177-180.

Wu Huling. Study on the Online Wear Condition Monitoring Method for Mining Reducer based on Wear Particle Feature. [J]. 41(2):177-180(2017)
[1]吴呼玲.基于磨粒特征的矿用减速器磨损状态在线监测方法研究[J].机械传动,2017,41(02):177-180. DOI： 10.16578/j.issn.1004.2539.2017.02.037.

Wu Huling. Study on the Online Wear Condition Monitoring Method for Mining Reducer based on Wear Particle Feature. [J]. 41(2):177-180(2017) DOI： 10.16578/j.issn.1004.2539.2017.02.037.

摘要

为实现在线磨损状态监测技术在矿用减速器的工程应用,进行了在线铁谱磨粒特征与减速器磨损状态的映射关系的研究。首先,利用在线铁谱图像自动采集系统获取磨粒图像。进而利用数字图像处理技术获取磨损颗粒信息,主要包括:采用Otsu’s自动阈值分割法将目标磨粒从图像背景中分离出来;通过像素扫描和边缘检测等方法提取磨粒的相对浓度和最大宽度尺寸信息。最后,获取设备运行过程中磨粒的统计学特征在时间序列上的变化趋势,实现矿用减速器的磨损状态在线分析。所提出的方法通过在线磨损的工程试验结果进行了有效性验证,为矿用设备的自动化监测与智能维护提供了新的技术手段。

Abstract

Aiming at the online wear condition monitoring of a mining reducer for engineering applications,the relationship between wear debris features and wear status is studied.Firstly,ferrograph images are firstly captured by using an online wear debris image acquisition system.Secondly,the wear particle features are extracted by utilizing digital image processing technology,where the Otsu’s automatic thresholding method is employed to separate wear particles from the image background,and the debris features of relative concentration and the maximum width are extracted using a pixel scanning method.Finally,the wear status of a mining reducer is analyzed based on the statistical features of online wear debris.Additionally,the experiments are carried out and the results demonstrate that the proposed method is effective to monitor a running machine.This study also provides a new approach for automatic monitoring and intelligent maintenance of mining reducer.

关键词

在线监测磨粒分析特征提取图像处理

Keywords

Online monitoringWear debris analysisFeature extractionImage processing

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