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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2012 - 10

State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis

MRUGALSKI, M. See more information about MRUGALSKI, M. on SCOPUS See more information about MRUGALSKI, M. on IEEExplore See more information about MRUGALSKI, M. on Web of Science, WITCZAK, M. See more information about WITCZAK, M. on SCOPUS See more information about WITCZAK, M. on SCOPUS See more information about WITCZAK, M. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,050 KB) | Citation | Downloads: 420 | Views: 3,060

Author keywords
fault diagnosis, robustness, actuators, neural networks, system identification

References keywords
fault(14), control(12), systems(11), neural(10), witczak(7), networks(7), estimation(7), mrugalski(6), korbicz(6), gmdh(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-08-31
Volume 12, Issue 3, Year 2012, On page(s): 65 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.03010
Web of Science Accession Number: 000308290500010
SCOPUS ID: 84865856659

Abstract
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Most fault diagnosis methods focus on the fault detection of the system or sensors and do not take into account the problem of the fault detection and isolation of the actuators, which are an important part of the contemporary industrial systems. To solve such a problem, the system outputs and inputs estimator based on a dynamic Group Method of Data Handling neural network in the state-space representation is proposed. In particular, the methodology of the adaptive thresholds calculation for system inputs and outputs is presented. The approach is based on the application of the Unscented Kalman Filter and Unknown Input Filter is presented. This result enables performing robust fault detection and isolation of the actuators. The final part of the paper presents an application study, which confirms the effectiveness of the proposed approach.


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Cited-By ISI Web of Science

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SCOPUS® Times Cited: 26
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Cited-By CrossRef

[1] A fault-tolerant control strategy for non-linear discrete-time systems: application to the twin-rotor system, Witczak, Marcin, Puig, Vicenç, de Oca, Saúl Montes, International Journal of Control, ISSN 0020-7179, Issue 10, Volume 86, 2013.
Digital Object Identifier: 10.1080/00207179.2013.796592
[CrossRef]

[2] A Combined Model-based and Intelligent Method for Small Fault Detection and Isolation of Actuators, Cheng, Yao, Wang, Rixin, Xu, Minqiang, IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 2015.
Digital Object Identifier: 10.1109/TIE.2015.2499722
[CrossRef]

[3] Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace, Witczak, Marcin, Mrugalski, Marcin, Korbicz, Józef, Neural Processing Letters, ISSN 1370-4621, Issue 1, Volume 42, 2015.
Digital Object Identifier: 10.1007/s11063-014-9387-0
[CrossRef]

[4] Actuator fault diagnosis and fault-tolerant control: Application to the quadruple-tank process, Buciakowski, Mariusz, de Rozprza-Faygel, Michał, Ochałek, Joanna, Witczak, Marcin, Journal of Physics: Conference Series, ISSN 1742-6588, Issue 8, Volume 570, 2014.
Digital Object Identifier: 10.1088/1742-6596/570/8/082002
[CrossRef]

[5] A neural network-based robust unknown input observer design: Application to wind turbine, Witczak, Piotr, Patan, Krzysztof, Witczak, Marcin, Puig, Vincenc, Korbicz, Jozef, IFAC-PapersOnLine, ISSN 2405-8963, Issue 21, Volume 48, 2015.
Digital Object Identifier: 10.1016/j.ifacol.2015.09.538
[CrossRef]

[6] Design of robust predictive fault-tolerant control for Takagi-Sugeno fuzzy systems: Application to the twin-rotor system, Witczak, Piotr, Witczak, Marcin, Patan, Krzysztof, Stetter, Ralf, 2014 IEEE International Symposium on Intelligent Control (ISIC), ISBN 978-1-4799-7406-1, 2014.
Digital Object Identifier: 10.1109/ISIC.2014.6967616
[CrossRef]

[7] Robust fault and state estimation for Lipshitz systems: Three-tank system application, de Rozprza-Faygel, Michal, Buciakowski, Mariusz, Witczak, Marcin, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), ISBN 978-1-4799-8701-6, 2015.
Digital Object Identifier: 10.1109/MMAR.2015.7283923
[CrossRef]

[8] Neural-network based robust predictive fault-tolerant control for multi-tank system, Luzar, Marcel, Witczak, Marcin, Witczak, Piotr, Aubrun, Christophe, 2014 European Control Conference (ECC), ISBN 978-3-9524269-1-3, 2014.
Digital Object Identifier: 10.1109/ECC.2014.6862481
[CrossRef]

[9] Robust unknown input filter for fault diagnosis of non-linear systems, Mrugalski, Marcin, Witczak, Marcin, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR), ISBN 978-1-4673-5508-7, 2013.
Digital Object Identifier: 10.1109/MMAR.2013.6669901
[CrossRef]

[10] A LMI-based strategy for &#x210B;<inf>&#x221E;</inf> fault estimation of non-linear systems: Application to the multi-tank system, Witczak, Marcin, Korbicz, Jozef, Luzar, Marcel, 2014 European Control Conference (ECC), ISBN 978-3-9524269-1-3, 2014.
Digital Object Identifier: 10.1109/ECC.2014.6862478
[CrossRef]

[11] An H<inf>&#x221E;</inf> approach to fault estimation of non-linear systems: Application to one-link manipulator, Witczak, Marcin, Buciakowski, Mariusz, Mrugalski, Marcin, 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR), ISBN 978-1-4799-5081-2, 2014.
Digital Object Identifier: 10.1109/MMAR.2014.6957397
[CrossRef]

[12] A max-plus algebra predictive approach to a battery assembly system control, Majdzik, Pawel, Seybold, Lothar, Witczak, Marcin, 2014 IEEE International Symposium on Intelligent Control (ISIC), ISBN 978-1-4799-7406-1, 2014.
Digital Object Identifier: 10.1109/ISIC.2014.6967649
[CrossRef]

[13] A quadratic boundedness approach to adaptive actuator fault estimation, Ochalek, Joanna, Kanski, Zbigniew, Witczak, Marcin, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), ISBN 978-1-4799-8701-6, 2015.
Digital Object Identifier: 10.1109/MMAR.2015.7283932
[CrossRef]

[14] Robust fault identification of a polytopic LPV system with neural network, Luzar, Marcel, Witczak, Marcin, Mrugalski, Marcin, Kanski, Zbigniew, 2014 IEEE International Symposium on Intelligent Control (ISIC), ISBN 978-1-4799-7406-1, 2014.
Digital Object Identifier: 10.1109/ISIC.2014.6967628
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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