Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method

XU Dan; YU Long; WANG Yumei

doi:10.13296/j.1001-1609.hva.2014.08.025

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Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method

更新时间：2025-04-26

- Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method
- High VoltageApparatus Vol. 50, Issue 8, Pages: 99-103(2014)
- 作者机构：
  
  1. 河南理工大学电气工程与自动化学院
  2. 河南省周口市供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2014.08.025
  CLC： TM561
- Published：2014
- 稿件说明：
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[1]许丹,于龙,王玉梅.基于用最小二乘法改进的EMD与能量熵融合的断路器机械故障诊断方法[J].高压电器,2014,50(08):99-103.

XU Dan, YU Long, WANG Yumei. Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method[J]. High voltageapparatus, 2014, 50(8): 99-103.
[1]许丹,于龙,王玉梅.基于用最小二乘法改进的EMD与能量熵融合的断路器机械故障诊断方法[J].高压电器,2014,50(08):99-103. DOI： 10.13296/j.1001-1609.hva.2014.08.025.

XU Dan, YU Long, WANG Yumei. Mechanical Fault Diagnosis Method for Circuit Breaker Based on the Combination of Energy Entropy and Improved EMD by Using the Least Square Method[J]. High voltageapparatus, 2014, 50(8): 99-103. DOI： 10.13296/j.1001-1609.hva.2014.08.025.

摘要

笔者针对经验模态分解（EMD）分解结果的准确性对实验结果的影响

利用最小二乘法对EMD进行改进

有效地缓解了EMD固有的端点效应对实验结果的影响。分别对断路器操动机构的正常振动信号和连接臂松动信号进行EMD和小波变换分解

并将能量熵分别应用到改进EMD与小波变换中。通过能量熵值计算分析表明

改进的EMD能量熵值明显大于小波能量熵

因此改进的EMD与能量熵融合法为断路器机械状态识别提供了有益的帮助。

Abstract

In view of the influence of decomposition results for the accuracy of the empirical mode decomposition（EMD） of the experimental results

this paper proposes that the EMD can be improved by using the least squares principle and the influence of EMD end effect on the experimental results can be mitigated effectively. Then the normal vibration signal and connecting arm loose signal of the circuit breaker operating mechanism are EMD and wavelet transform decomposition during which the energy entropy is applied to improve EMD and wavelet transform. By calculating the energy entropy shows that the improved EMD energy entropy values are significantly greater than the wavelet energy entropy. So the improved EMD energy entropy fusion method for mechanical condition recognition of the circuit breaker provides a useful help.

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