杨建华

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:吉林工业大学

学位:硕士

所在单位:控制科学与工程学院

电子邮箱:jianhuay@dlut.edu.cn

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Design of fault diagnosis system for coal-bed methane gathering process and research on the fault diagnosis for compressors

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论文类型:会议论文

发表时间:2013-08-27

收录刊物:EI、CPCI-S、Scopus

页面范围:231-236

关键字:Data base; Coal-bed methane gathering process; Fault diagnosis; Fuzzy; Association memory model; Self-learning

摘要:The process of coal-bed methane gathering includes two important parts: coal-bed production and gas compression by booster station. So the fault often occurs in these two parts. In this article, we adopt FAM (Fuzzy Associative Memory) neural network to realize compressor fault diagnosis. This model implements intelligent fault diagnosis and self-learning of the knowledge database. Thus it significantly improves the accuracy and scalability of fault diagnosis system of the reciprocating compressor. The system has been adopted in experiment. In addition, the fault diagnosis system is based on Visual Studio 2008. NET and SQL sever 2005 to monitor operation parameters and equipment status real-timely and to realize fault management and diagnosis. The system has friendly man-machine interface and is more convenient and easy to understand the operation flow, more powerful to store data and more easy to embed fault diagnosis algorithm into it.