变工况下滑动磨损静电多传感器融合监测方法

张进武; 刘若晨; 孙见忠

doi:10.13873/J.1000-9787(2020)12-0149-04

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变工况下滑动磨损静电多传感器融合监测方法

计算与测试 | 更新时间：2025-09-11

- 变工况下滑动磨损静电多传感器融合监测方法
- Method of electrostatic multi-sensor fusion monitoring of sliding wear under variable working conditions
- 传感器与微系统 2020年第12期页码：149-152+160
- 作者机构：
  
  1. 江苏理工学院汽车与交通工程学院
  2. 南京航空航天大学民航学院
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(51705221)
- DOI：10.13873/J.1000-9787(2020)12-0149-04
  中图分类号： TP212.9
- 纸质出版：2020
- 稿件说明：
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张进武, 刘若晨, 孙见忠. 变工况下滑动磨损静电多传感器融合监测方法[J]. 传感器与微系统, 2020,(12):149-152+160.

ZHANG Jinwu, LIU Ruochen, SUN Jianzhong. Method of electrostatic multi-sensor fusion monitoring of sliding wear under variable working conditions[J]. 2020, (12): 149-152+160.
张进武, 刘若晨, 孙见忠. 变工况下滑动磨损静电多传感器融合监测方法[J]. 传感器与微系统, 2020,(12):149-152+160. DOI： 10.13873/J.1000-9787(2020)12-0149-04.

ZHANG Jinwu, LIU Ruochen, SUN Jianzhong. Method of electrostatic multi-sensor fusion monitoring of sliding wear under variable working conditions[J]. 2020, (12): 149-152+160. DOI： 10.13873/J.1000-9787(2020)12-0149-04.

摘要

针对滑动磨损的故障监测

基于多传感器信息融合技术

采用多个静电传感器对滑动磨损进行同时监测

通过时域算法和复杂度度量算法对特征参数进行提取

并提出移动窗局部离群因子检测算法。在变工况条件下

采用销盘磨损静电综合监测平台

对滑动磨损进行监测试验

结果表明:考虑工况变化的移动窗局部离群因子算法可用于监测滑动磨损静电多传感器综合监测。

Abstract

Based on multi-sensor information fusion technology

multiple electrostatic sensors are used to monitor sliding wear simultaneously

and feature parameters are extracted by time domain algorithm and complexity measurement algorithm

and a moving window local outlier detection algorithm is proposed. Under variable working conditions

the sliding wear area is monitored and tested by using an electrostatic comprehensive monitoring platform for pin plate wear. The results show that the moving window local outlier factor algorithm considering the change of working conditions can be used for the static multi-sensor comprehensive monitoring of sliding wear.

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