Title :
Research of industrial furnace fault diagnosis expert system
Author :
Yang, Shengquan ; Liu, Bailin
Author_Institution :
Sch. of Comput. Sci. & Eng., Xi´´an Technol. Univ., Xi´´an, China
Abstract :
In order to realize fast location and detection of abnormal status during running of industrial furnace, especially abnormal status of firing, this article studies and designs a fault diagnosis expert system based on fault tree theory. Firstly, formalized definition of industrial furnace fault diagnosis expert system is given in the paper, then all component elements of the expert system are analyzed and designed in detail, finally the principles and methods of design knowledge base are introduced to us by using the fault tree theory, and also reasoning algorithm is put forward, which is used to reason the fault by way of fault tree. The project practice indicates that this system knowledge model has good suitability, and what´s more it is used simply and conveniently, also the outcome of fault diagnosis is reliable and steady.
Keywords :
diagnostic expert systems; fault location; fault trees; firing (materials); furnaces; inference mechanisms; production engineering computing; abnormal firing status; fault diagnosis expert system; fault tree theory; industrial furnace; knowledge base design; reasoning algorithm; system knowledge model; Cognition; Educational institutions; Furnaces; Heating; Monitoring; Security; Expert System; Fault Tree; Industrial Furnace; Knowledge Base; Reasoning Machine;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619377