DocumentCode :
620443
Title :
Fault diagnosis system for A2O process of urban sewage based on ASM2 model and expert system
Author :
Lian XiaoFeng ; Yu Miao ; Pan Feng ; Li Xiaoting
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
4117
Lastpage :
4122
Abstract :
For urban sewage treatment process of A2O, a fault diagnosis method based on parameter estimation of Activated Sludge Model No.2 (ASM2) model and expert system is proposed. Firstly, the A2O process is simulated based on Activated Sludge Model No.2 (ASM2) model, and then according it to calculate the estimated value of components parameter of biochemical reaction process, and compare it with the real value of corresponding parameter which provide auxiliary fault knowledge support for expert system. Furthermore, an expert system can draw fault diagnosis results is designed by means of uncertainty reasoning for expert knowledge based on RETE algorithm, which making full use of priori knowledge to diagnose effective for the fault reasoning. Finally, a fault diagnosis system for A2O process is developed. For a sewage treatment plant of Kunming, experiment result has shown that the fault diagnosis system for A2O process can make effective diagnosis of the actual process issues, and it has certain engineering practicability.
Keywords :
environmental science computing; expert systems; fault diagnosis; parameter estimation; sewage treatment; sludge treatment; uncertainty handling; A2O process; ASM2 model; Kunming; activated sludge model no.2 model; auxiliary fault knowledge support; biochemical reaction process; engineering practicability; expert system; fault diagnosis system; parameter estimation; uncertainty reasoning; urban sewage treatment process; Cognition; Computational modeling; Educational institutions; Electronic mail; Expert systems; Fault diagnosis; Sewage treatment; A2O Process; ASM2 Model; Fault Diagnosis System; RETE Reasoning Algorithm; Sewage Treatment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561672
Filename :
6561672
Link To Document :
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