英文摘要 | With the development of modern industry, enterprises further increase the demands of complex systems and equipments; device management becomes the major business challenge. As an important part of the device management - Fault Diagnosis gets more and more attention by the enterprises, how to protect the equipment of these complex systems to ensure the safety of the working process, to avoid the incidence of equipment failure, it becomes a major research subject about equipment fault diagnosis. Fault diagnosis integrates information science, materials science, mechanics, computer technology, pattern recognition, particularly with the development of artificial intelligence, intelligent diagnosis gradually applied to fault diagnosis; it is playing an increasingly important role in fault diagnosis. Apply of the advanced technology to detect fault diagnosis, to avoid and prevent fatal accidents, reduce the business cost of maintenance. Therefore, the study of fault diagnosis of advanced technology for modern enterprise has great economic significance and practical value. This dissertation combines the author's knowledge and the background of the process of gas purification equipment operation environment, characteristics; specifically study the self-equipment diagnostic algorithm and algorithm of the diagnosis process, combined with CLIPS expert system platform, design the system of “CLIPS-based equipments fault diagnosis expert system for the process of gas purification.” The main text of the following: Chapter one describes the research background, and the significance of paper, explains the purpose and contents of the fault diagnosis, and the fault diagnosis technology, research status and level; analyses of the gas purification process fault diagnosis technology research status and the level in domestic and foreign, and the application of artificial intelligence in the equipment fault diagnosis; describes the development of CLIPS-based fault diagnosis expert system’s research status and level, and the current faced problems in expert system. Finally, gives the paper's research objectives and main content. Chapter two describes the Boolean algebra based function tree’s application in fault diagnosis and the Boolean based Fault symptom-case matrix diagnosis model. Propose the function tree based method to set up the Boolean function of the equipment, and based on Boolean function to establish the Fault symptom-case matrix. Chapter three describes th... |
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