Jiang, Shaohua; Gui, Wei-Hua; Ding, Steven X.; Naik, Amol S.:
Development and Application of a Data-Driven Fault Prediction Method to the Imperial Smelting Furnace Process
In: 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Barcelona, 2009, pp. 1174 - 1179
2009book article/chapter in collection
TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title:
Development and Application of a Data-Driven Fault Prediction Method to the Imperial Smelting Furnace Process
Author:
Jiang, Shaohua;Gui, Wei-Hua;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Naik, Amol S.
DOI
10.3182/20090630-4-ES-2003.00192
Appears in
7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Place of publication:
Barcelona
Year of publication:
2009
in:
pp. 1174 - 1179

Abstract:

This paper addresses the development and application of a data-driven method to the fault diagnosis in imperial smelting furnace (ISF). Based on the method of the weighted least squares vector machines regression, a Hammerstein model is constructed and identified for the ISF. This model is used to predict the dynamic behavior of the furnace and the possible faults in the process. The simulation study shows that the identified model well adapts to the changes in the structural parameters and provides accurate prediction.