汽轮机组凝汽器故障诊断方法的分析研究  

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

作　　者：石勇[1] 张仲民[1] 武永运[1] 黄善仿[1] 苏军[1] 张江峰[1] 

机构地区：[1]西安交通大学,陕西西安710049

出　　处：《热力发电》2004年第8期25-28,共4页Thermal Power Generation

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。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.

关 键 词：汽轮机组 凝汽器 故障诊断 模糊神经网络 模糊模式识别 

分 类 号：TK264.11[动力工程及工程热物理—动力机械及工程] TK267