ANALYSIS AND STUDY ON THE FAULT DIAGNOSIS METHOD OF VACUUM IN CONDENSOR FOR STEAM TURBINE UNIT

doi:10.19666/j.rlfd.2004.08.008

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ANALYSIS AND STUDY ON THE FAULT DIAGNOSIS METHOD OF VACUUM IN CONDENSOR FOR STEAM TURBINE UNIT

更新时间：2025-09-28

- ANALYSIS AND STUDY ON THE FAULT DIAGNOSIS METHOD OF VACUUM IN CONDENSOR FOR STEAM TURBINE UNIT
- Thermal Power Generation Issue 8, Pages: 25-28(2004)
- 作者机构：
  
  1. 西安交通大学,陕西,西安,710049
  2. ,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2004.08.008
  CLC： TK264.11
- Published：2004
- 稿件说明：
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ANALYSIS AND STUDY ON THE FAULT DIAGNOSIS METHOD OF VACUUM IN CONDENSOR FOR STEAM TURBINE UNIT[J]. Thermal power generation, 2004, (8): 25-28.
DOI：

ANALYSIS AND STUDY ON THE FAULT DIAGNOSIS METHOD OF VACUUM IN CONDENSOR FOR STEAM TURBINE UNIT[J]. Thermal power generation, 2004, (8): 25-28. DOI： 10.19666/j.rlfd.2004.08.008.

摘要

结合凝汽器的实际运行状况和现场专家经验

介绍了 3种凝汽器故障诊断方法 :模糊模式识别、神经网络、模糊神经网络。用实例对几种方法进行分析比较

指出了凝汽器故障诊断方法的发展趋势。

Abstract

Combining actual operational situation of condenser with experiences of specialists in the field

several fault diagnosis methods of condensors

such as fuzzy pattern recognition

BP neural network

and fuzzy neural network etc.

have been analysed and compared by using practical examples

pointing out the developing tendency of fault diagnosis methods for condensers.

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