Fault diagnosis system for A2O process of urban sewage based on ASM2 model and expert system

Xiaofeng Lian; Miao Yu; Feng Pan; Xiaoting Li

doi:10.1109/CCDC.2013.6561672

Fault diagnosis system for A²O process of urban sewage based on ASM2 model and expert system

Xiaofeng Lian, Miao Yu, Feng Pan, Xiaoting Li

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages	4117-4122
Number of pages	6
DOIs	https://doi.org/10.1109/CCDC.2013.6561672
Publication status	Published - 2013
Event	2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China Duration: 25 May 2013 → 27 May 2013

Publication series

Name	2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference	2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/Territory	China
City	Guiyang
Period	25/05/13 → 27/05/13

Keywords

A2O Process
ASM2 Model
Fault Diagnosis System
RETE Reasoning Algorithm
Sewage Treatment

Access to Document

10.1109/CCDC.2013.6561672

Cite this

@inproceedings{796f0321246b461e9a871d69ded41064,

title = "Fault diagnosis system for A2O process of urban sewage based on ASM2 model and expert system",

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 = "A2O Process, ASM2 Model, Fault Diagnosis System, RETE Reasoning Algorithm, Sewage Treatment",

author = "Xiaofeng Lian and Miao Yu and Feng Pan and Xiaoting Li",

year = "2013",

doi = "10.1109/CCDC.2013.6561672",

language = "English",

isbn = "9781467355322",

series = "2013 25th Chinese Control and Decision Conference, CCDC 2013",

pages = "4117--4122",

booktitle = "2013 25th Chinese Control and Decision Conference, CCDC 2013",

note = "2013 25th Chinese Control and Decision Conference, CCDC 2013 ; Conference date: 25-05-2013 Through 27-05-2013",

}

Lian, X, Yu, M, Pan, F & Li, X 2013, Fault diagnosis system for A²O process of urban sewage based on ASM2 model and expert system. in 2013 25th Chinese Control and Decision Conference, CCDC 2013., 6561672, 2013 25th Chinese Control and Decision Conference, CCDC 2013, pp. 4117-4122, 2013 25th Chinese Control and Decision Conference, CCDC 2013, Guiyang, China, 25/05/13. https://doi.org/10.1109/CCDC.2013.6561672

Fault diagnosis system for A²O process of urban sewage based on ASM2 model and expert system. / Lian, Xiaofeng; Yu, Miao; Pan, Feng et al.
2013 25th Chinese Control and Decision Conference, CCDC 2013. 2013. p. 4117-4122 6561672 (2013 25th Chinese Control and Decision Conference, CCDC 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fault diagnosis system for A2O process of urban sewage based on ASM2 model and expert system

AU - Lian, Xiaofeng

AU - Yu, Miao

AU - Pan, Feng

AU - Li, Xiaoting

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - A2O Process

KW - ASM2 Model

KW - Fault Diagnosis System

KW - RETE Reasoning Algorithm

KW - Sewage Treatment

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M3 - Conference contribution

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EP - 4122

BT - 2013 25th Chinese Control and Decision Conference, CCDC 2013

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