NDLI: Development of knowledge base of fault diagnosis system in solar power tower plants

Content Provider	IEEE Xplore Digital Library
Author	Guo, S. Liu, D.Y. Guo, T.Z. Xu, C. Wan, D.S. Huang, W.
Copyright Year	2009
Description	Author affiliation: Department of power engineering, Hohai University, Nanjing 210098, China (Liu, D.Y.; Guo, T.Z.; Xu, C.) \|\| Department of power engineering, Southeast University, Nanjing 210096, China and the department of power engineering, Hohai University, Nanjing 210098, China (Guo, S.) \|\| College of computer & information engineering, Hohai University, Nanjing 210098, China (Wan, D.S.; Huang, W.)
Abstract	Solar Power Tower (SPT) plant is a hugeous and complicated system, thus there have not been relative research productions on the record in the aspect of developing the knowledge base of its Fault Diagnosis System (FDS) in the whole world yet. In this paper, a modular and hierarchical knowledge base of FDS is designed and developed to use in SPT plants according to the characteristics of structure and operation of SPT plants. This knowledge base consists of Main Control Module, Concentrator Subsystem, Receiver Subsystem, Heat Storage Subsystem, Generating Subsystem and Assistant Subsystem. Each subsystem module contains a sub-control module and some secondary subsystem modules. In the knowledge base, knowledge is divided into metaknowledge, facts and rules. Moreover, rules are separated into meta rules, goal rules and diagnosis rules. Production rule representation is adopted to express the knowledge. Uncertainty of knowledge is described in this paper additionally. According to the application of the knowledge base in SPT plant, it is validated that the knowledge base developed in this paper has the characteristics of simple structure and high inference efficiency, which are favorable to simplify the design and development of inference engine.
Starting Page	1
Ending Page	6
File Size	418426
Page Count	6
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5348086
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Production systems Temperature Uncertainty Poles and towers Uncertainty of knowledge Production rule representation Knowledge base Solar power generation Fault diagnosis Modularization Hierarchy Solar energy Solar power tower plant Fault diagnosis system Power generation Turbines
Content Type	Text
Resource Type	Article

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