文献类型：期刊文献

中文题名：实时故障诊断专家系统在PTA装置中的应用

英文题名：The application of real-time fault diagnosis expert system to large scale PTA plant

作者：郑小霞[1];王振雷[1];钱锋[1]

机构：[1]华东理工大学自动化研究所,上海200237

年份：2005

卷号：22

期号：11

起止页码：955

中文期刊名：计算机与应用化学

外文期刊名：Computers and Applied Chemistry

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：国家973计划(2002CB3122000)国家自然科学基金(60074027)国家高技术发展(863)计划项目(2003AA412010)

语种：中文

中文关键词：故障诊断;专家系统;模糊神经网络;PTA

外文关键词：fault diagnosis, expert system, fuzzy neural network, PTA

摘要：精对苯二甲酸(pure terephthalic acid,PTA)是生产聚酯的重要原料。针对大型PTA装置故障的特点,提出将小波分析、模糊ART神经网络和专家系统等技术结合起来,开发了实时故障诊断专家系统。文中阐述了专家系统的具体实现,包括数据预处理模块、知识库组成及表达方式、人机界面、推理机的组成和诊断过程等。在某大型PTA装置中的成功应用表明:该系统具有预报准确、界面友好、易于维护等特点,有很好的通用性和推广价值。
Pure Terephthalic Acid （PTA） is an important material for producing polyester. Aiming at the fault characteristics of the large PTA plant, a real-time fault diagnosis system based on wavelet transform, fuzzy ART neural network and expert system is proposed. Pre-processing, the content of knowledge base, user interface, the hybrid reasoning and diagnosing strategy are introduced. Finally the proposed approach is successfully applied to large scale PTA plant for fault prediction and diagnosis. The application results show that it can make accurate forecast and has many specialties such as friendly interface, easy maintenance, high universality and great practical value.