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改进熵权TOPSIS的综合传动装置磨损状态评价方法

陈涛 刘勇 贾然 唐长亮

湖南大学学报(自然科学版)2024,Vol.51Issue(12):10-18,9.
湖南大学学报(自然科学版)2024,Vol.51Issue(12):10-18,9.DOI:10.16339/j.cnki.hdxbzkb.2024246

改进熵权TOPSIS的综合传动装置磨损状态评价方法

Wear State Evaluation Method Based on Improved Entropy-weighted TOPSIS for Power-shift Steering Transmission

陈涛 1刘勇 2贾然 1唐长亮1

作者信息

  • 1. 北京信息科技大学 现代测控技术教育部重点实验室,北京 100192
  • 2. 中北大学 能源与动力工程学院,山西 太原 038507
  • 折叠

摘要

Abstract

To improve the objectivity,accuracy,and interpretability of device wear evaluation,an improved entropy-weighted TOPSIS method for wear state evaluation is proposed based on multidimensional element data obtained from oil spectroscopy detection,compressively using the DTW,entropy-weighted TOPSIS and system clustering methods.Firstly,the similarity of wear element sequences is measured using the DTW method to extract wear-sensitive features.Secondly,an entropy-weighted TOPSIS wear state evaluation model is established.The contribution weights in wear evaluation are determined based on the information content carried by the wear features and their degree of variation,and the degradation index indicator that quantitatively describes the degree of wear is obtained.Finally,an adaptive hierarchical clustering is performed on the wear degradation indicators to divide the wear state into three stages:normal wear,abnormal wear,and severe wear.A case study on wear evaluation of the power-shift steering transmission is presented,where the DTW distance is used to extract Fe,Cu,and Pb as wear-sensitive features;the wear evaluation weights of Fe,Cu,and Pb are determined to be 0.193,0.341,and 0.466,respectively,based on entropy calculation;wear degradation index indicator is obtained by the entropy-weighted method to quantitatively describe the wear trend;and the wear state is clustered into three stages using the degradation index,forming a tree-like structure with clear boundaries and strong interpretability.The effectiveness of the improved entropy-weighted TOPSIS method for wear state evaluation is verified,which can provide a scientific basis for health monitoring of comprehensive transmission devices.

关键词

DTW/熵权TOPSIS/层次聚类/油液光谱/磨损评价

Key words

DTW/entropy-weighted TOPSIS/hierarchical clustering/oil spectroscopy/wear state evaluation

分类

交通工程

引用本文复制引用

陈涛,刘勇,贾然,唐长亮..改进熵权TOPSIS的综合传动装置磨损状态评价方法[J].湖南大学学报(自然科学版),2024,51(12):10-18,9.

基金项目

国家自然科学基金资助项目(51605035),National Natural Science Foundation of China(51605035) (51605035)

机电系统测控重点实验室开放课题(KF20222223203) (KF20222223203)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

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