TY - GEN
T1 - Fault diagnosis system of A2/O process based on parameter estimation and expert system
AU - Yu, Miao
AU - Pan, Feng
AU - Lian, Xiaofeng
AU - Li, Xiaoting
PY - 2013
Y1 - 2013
N2 - For urban sewage treatment process of A2/O, a fault diagnosis method based on parameter estimation of Activated Sludge Model No.2(ASM2) model and expert system is proposed. Firstly, the A2/O process is simulated based on Activated Sludge Model No.2(ASM2) model, according to which, the estimated value of component parameters of biochemical reaction process is obtained, and when it's compared with the normal value of corresponding parameters, the faults can be detected. Furthermore, an expert system that can draw fault diagnosis results is designed by means of uncertainty reasoning for expert knowledge. Finally, a fault diagnosis system for A2/O process is developed. For a sewage treatment plant of Kunming, experiment result has shown that the fault diagnosis system for A2/O process can make effective diagnosis of the actual process issues, and it has certain engineering practicability.
AB - For urban sewage treatment process of A2/O, a fault diagnosis method based on parameter estimation of Activated Sludge Model No.2(ASM2) model and expert system is proposed. Firstly, the A2/O process is simulated based on Activated Sludge Model No.2(ASM2) model, according to which, the estimated value of component parameters of biochemical reaction process is obtained, and when it's compared with the normal value of corresponding parameters, the faults can be detected. Furthermore, an expert system that can draw fault diagnosis results is designed by means of uncertainty reasoning for expert knowledge. Finally, a fault diagnosis system for A2/O process is developed. For a sewage treatment plant of Kunming, experiment result has shown that the fault diagnosis system for A2/O process can make effective diagnosis of the actual process issues, and it has certain engineering practicability.
KW - A/O process
KW - ASM2
KW - Expert system
KW - Fault diagnosis
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=84872450667&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.263-266.1647
DO - 10.4028/www.scientific.net/AMM.263-266.1647
M3 - Conference contribution
AN - SCOPUS:84872450667
SN - 9783037855744
T3 - Applied Mechanics and Materials
SP - 1647
EP - 1651
BT - Information Technology Applications in Industry
T2 - 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012
Y2 - 10 November 2012 through 11 November 2012
ER -