M. Soufian
Fault detection observer of a pilot plant papermaking machine
Soufian, M.; Borairi, M.; Yu, D. L.
Authors
M. Borairi
D. L. Yu
Abstract
This paper presents the development of a bilinear system model and the application of a bilinear fault detection observer to a papermaking machine to detect various simulated faults. First a suitable MIMO bilinear model representation of the wet end section of the process is found. Then, a set of robust bilinear fault detection observer is used to generate the residuals which are robust to disturbance but sensitive the faults. A series of test is carried out by simulating four actuator and four sensor faults, which are successfully detected and isolated by using this method.
Citation
Soufian, M., Borairi, M., & Yu, D. L. (2017, June). Fault detection observer of a pilot plant papermaking machine. Presented at 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
Presentation Conference Type | Conference Paper (published) |
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Conference Name | 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) |
Start Date | Jun 19, 2017 |
End Date | Jun 21, 2017 |
Acceptance Date | May 2, 2017 |
Online Publication Date | Aug 8, 2017 |
Publication Date | Aug 8, 2017 |
Deposit Date | May 12, 2017 |
Publisher | Institute of Electrical and Electronics Engineers |
Series ISSN | 2163-5145 |
Book Title | 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) |
ISBN | 9781509014125 |
DOI | https://doi.org/10.1109/isie.2017.8001525 |
Keywords | Bilinear systems, faubt diagnosis, observer, papermaking machine, wet ends, modelling |
Public URL | http://researchrepository.napier.ac.uk/Output/836680 |