AC Contactor Degradation State Classification Based on Improved Weighted TOPSIS and Pelt Algorithm

KONG Weijin; LIU Yang; CAO Yundong; LIU Shuxin; XING Chaojian; {{custom_author.name_en}}

doi:10.13334/j.0258-8013.pcsee.240839

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AC Contactor Degradation State Classification Based on Improved Weighted TOPSIS and Pelt Algorithm

更新时间：2026-02-05

- AC Contactor Degradation State Classification Based on Improved Weighted TOPSIS and Pelt Algorithm
- Vol. 45, Issue 18, Pages: 7306-7315(2025)
- 作者机构：
  
  教育部特种电机与高压电器重点实验室(沈阳工业大学),辽宁省,沈阳市,110870
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.240839
  CLC：
- Published：2025
- 稿件说明：
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KONG Weijin, LIU Yang, CAO Yundong, et al. AC Contactor Degradation State Classification Based on Improved Weighted TOPSIS and Pelt Algorithm[J]. 2025, 45(18): 7306-7315.
DOI：

KONG Weijin, LIU Yang, CAO Yundong, et al. AC Contactor Degradation State Classification Based on Improved Weighted TOPSIS and Pelt Algorithm[J]. 2025, 45(18): 7306-7315. DOI： 10.13334/j.0258-8013.pcsee.240839.

摘要

交流接触器退化状态的阶段性划分是实现电器自身自我感知的重要前提，针对其全寿命多状态、多属性交互影响等特点，对阶段划分问题进行探究；以原始多特征参数为前提，利用Wasserstein距离进行特征参数趋势增强处理，并对增强后的特征加权融合，从而建立基于改进加权TOPSIS法的退化状态时间序列模型；在此基础上，考虑外界数据干扰影响，利用Pelt算法对退化状态时间序列进行阶段划分和全寿命状态分布特征分析。实例验证表明，该方法适用于交流接触器状态退化与划分的研究；与其他两种方法相比，状态分类精度优势明显，为实现退化状态精准评估和智能化应用奠定一定理论基础。

Abstract

The phase division of the degradation state of the AC contactor is an important prerequisite for appliance self-perception. Therefore

the phase division problem is explored considering its features of full-life multi-state and multi-attribute interactions. Based on the original multiple feature parameters

the Wasserstein distance is used for the feature parameter trend enhancement processing. The enhanced features are weighted and fused to establish the degradation state time series model based on the improved weighted TOPSIS method. On this basis

the degradation state time series are analyzed in terms of stage division and whole-life state distribution by using the Pelt algorithm

taking into account the influence of external data interference. The experimental validation shows that the method of this paper is suitable for the research of AC contactor state degradation and division. Compared with the other two methods

the proposed method exhibits an obvious advantage in state classification accuracy

which lays a theoretical foundation for the precise assessment and intelligent application of degradation state.

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