DocumentCode :
3171536
Title :
Application of multi-model fault diagnosis for an industrial system
Author :
Addel-Geliel, M. ; Zakzouk, S.
Author_Institution :
Arab Acad. for Sci. & Technol., Alexandria, Egypt
fYear :
2013
fDate :
25-28 June 2013
Firstpage :
413
Lastpage :
418
Abstract :
Since complete isolation of a fault set in an industrial plant using a single Fault Detection and Isolation (FDI) technique is so difficult, a hybrid fault detection techniques is preferred. An observer based technique is applied to isolate a certain unknown fault in an industrial boiler placed in Sidi Kerir Petrochemicals (SIDPEC) in a previous work [1]. A fault has been detected using single observer based method but it has failed to isolate it. Therefore in this work, a combined method of multi-model and parameter estimation fault diagnosis techniques (hybrid technique) is implemented here to diagnosis a real abnormal situation. The most important part of the boiler, which is called master loop, is addressed. The master loop is identified based on online data. The master loop has been subdivided into three parts named: fuel flow subsystem, airflow and burner subsystem and the whole system. Different fault scenarios are simulated on the identified models in order to validate the fault detection algorithm. Finally the fault diagnosis algorithm is applied on a real abnormal behavior to identify it. The fault is detected and accurately isolated.
Keywords :
boilers; fault location; FDI technique; Sidi Kerir Petrochemicals; airflow; burner subsystem; fault detection; fault detection algorithm; fault isolation; fuel flow subsystem; hybrid fault detection techniques; industrial boiler; industrial plant; industrial system; master loop; multimodel fault diagnosis algorithm; online data; parameter estimation fault diagnosis; Actuators; Atmospheric modeling; Boilers; Fault detection; Fault diagnosis; Fuels; Mathematical model; Fault Diagnosis; Multi-model; Observe r; fault tolerant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2013 21st Mediterranean Conference on
Conference_Location :
Chania
Print_ISBN :
978-1-4799-0995-7
Type :
conf
DOI :
10.1109/MED.2013.6608755
Filename :
6608755
Link To Document :
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