Fault diagnosis model for steam turbine vibration based on feature reduction theory

WANG Pan; WANG Yongtao; WANG Baoyu

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Fault diagnosis model for steam turbine vibration based on feature reduction theory

更新时间：2025-09-28

- Fault diagnosis model for steam turbine vibration based on feature reduction theory
- Thermal Power Generation Issue 1, (2016)
- 作者机构：
  
  1. 华北电力大学能源动力与机械工程学院,北京,102206
  2. 华电国际电力股份有限公司,北京,100031
  3. 华电电力科学研究院,浙江,杭州,310030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK268.1
- Published Online：15 February 2016，
  
  Published：2016
- 稿件说明：
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WANG Pan, WANG Yongtao, WANG Baoyu. Fault diagnosis model for steam turbine vibration based on feature reduction theory[J]. Thermal power generation, 2016, (1).
DOI：

WANG Pan, WANG Yongtao, WANG Baoyu. Fault diagnosis model for steam turbine vibration based on feature reduction theory[J]. Thermal power generation, 2016, (1). DOI：

摘要

通过比较主成分分析和粗糙集理论两种特征约简方法

提出了将主成分分析与改进支持向量机相结合的故障诊断方法，建立了主成分分析集成特征约简的振动故障诊断模型。以某汽轮机油膜涡动振动故障信号及某600 MW机组汽轮机的质量不平衡振动为例

对本文故障诊断方法进行验证

结果表明

本文故障诊断方法既缩短了诊断时间

又具有较高的诊断准确率。

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