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

WANG Pan; WANG Yongtao; WANG Baoyu

English

您当前的位置：

首页 >

文章列表页 >

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

Thermal Power Generation Issue 1, (2016)

更新时间：2025-09-28

- Fault diagnosis model for steam turbine vibration based on feature reduction theory
- 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：
移动端阅览
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。

Abstract

关键词

Keywords

references

Views

215

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

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

A rotor fault diagnosis method based on EEMD cloud model and SVM

Flexuous vibration characteristics of HP/IP rotor in a 1 000 MW nuclear power unit

FAILURE ANALYSIS OF STEAM TURBINE'S BEARING PAD DAMAGE

ANALYSIS OF MAIN STEAM CONDUIT VIBRATION OF 35MW STEAM TURBINE AND REMEDIAL MEASURES THEREOF

Related Author

WANG Pan

WANG Yongtao

TIAN Songfeng

XU Jiarui

WANG Meijun

HAN Qiang

ZHANG Heng

YANG Zhang

Related Institution

College of Energy, Power and Mechanical Engineering, North China Electric Power University

Huadian International Power Co., Ltd

Key Lab of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University

Xi'an Thermal Power Research Institute Co.,Ltd.

Fujian Ningde Nuclear Power Co,.Ltd.

AI问答

⁰