Fault Diagnosis Method of Hydropower Units Based on Time-shifted Multiscale Fluctuation Dispersion Entropy and Improved Kernel Extreme Learning Machine

Zhexi XU; Ting LIU; Shengmin REN; Jianlin CHEN; Fengjiao WU; Bin WANG

doi:10.12454/j.jsuese.202200843

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Fault Diagnosis Method of Hydropower Units Based on Time-shifted Multiscale Fluctuation Dispersion Entropy and Improved Kernel Extreme Learning Machine

CLEAN ENERGY DEVELOPMENT AND DEEP UNDERGROUND ENGINEERING IN THE YALONG RIVER BASIN | 更新时间：2024-08-22

- Fault Diagnosis Method of Hydropower Units Based on Time-shifted Multiscale Fluctuation Dispersion Entropy and Improved Kernel Extreme Learning Machine
- “在能源供给结构改革领域，专家提出了一种结合时移多尺度波动散布熵和改进核极限学习机的水电机组智能故障诊断方法，有效解决了振动信号中噪声干扰问题，显著提高了诊断精度。”
- Advanced Engineering Sciences Vol. 56, Issue 3, Pages: 41-51(2024)
- 作者机构：
  
  西北农林科技大学水利与建筑工程学院，陕西杨凌 712100
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202200843
  CLC： TB126
- Published：20 May 2024，
  
  Published Online：14 February 2023，
  
  Received：12 August 2022，
  
  Revised：14 February 2023，
- 稿件说明：
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徐哲熙,刘婷,任晟民,等.基于时移多尺度波动散布熵和改进核极限学习机的水电机组故障诊断[J].工程科学与技术,2024,56(3):41–51

Xu Zhexi,Liu Ting,Ren Shengmin,et al.Fault diagnosis method of hydropower units based on time–shifted multiscale fluctuation dispersion entropy and improved kernel extreme learning machine[J].Advanced Engineering Sciences,2024,56(3):41–51
徐哲熙,刘婷,任晟民,等.基于时移多尺度波动散布熵和改进核极限学习机的水电机组故障诊断[J].工程科学与技术,2024,56(3):41–51 DOI： 10.12454/j.jsuese.202200843.

Xu Zhexi,Liu Ting,Ren Shengmin,et al.Fault diagnosis method of hydropower units based on time–shifted multiscale fluctuation dispersion entropy and improved kernel extreme learning machine[J].Advanced Engineering Sciences,2024,56(3):41–51 DOI： 10.12454/j.jsuese.202200843.

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Fault Diagnosis Method of Hydropower Units Based on Time-shifted Multiscale Fluctuation Dispersion Entropy and Improved Kernel Extreme Learning Machine

DOI：10.12454/j.jsuese.202200843