Imperial College London > Talks@ee.imperial > Control and Power Seminars > Input Design for Active Fault Diagnosis

Input Design for Active Fault Diagnosis

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Faults represent a serious threat to safe and profitable operations. When such abnormal events occur, it is important to promptly identify their presence and isolate their cause. Unfortunately, the increasing complexity of industrial processes makes these tasks difficult for human operators thus leading to the need for automated Fault Detection and Isolation (FDI) procedures. Different methods have been proposed in literature and applied in industry over the years. Passive FDI schemes rely on prior knowledge of the process and input-output data to determine the presence of possible problems. Although these approaches are often effective, they may be very slow in detecting the anomalies since based on observations only. Besides, the presence of noise and uncertainties makes the diagnosis even more difficult. On the other hand, a suitable modification of the inputs could significantly reduce the time required for fault detection and isolation, thus also reducing the risk of dramatic consequences. This presentation discusses new methods for computing active inputs that guarantee that the input-output data of a process will be sufficient to correctly identify a fault from a given library of possible faults. To address this problem, a new formulation is considered, along with related approximations, that is amenable to efficient solution using standard optimization packages (e.g. CPLEX ). The theoretical contributions combine ideas from reachability analysis, set-based computations, and optimization theory to exploit detailed problem structure and thereby manage the problem complexity.

Biography: Davide M. Raimondo was born in Pavia, Italy, in 1981. He received the B.Sc. and M.Sc. in Computer Engineering, and the Ph.D. in Electronics, Computer Science and Electrical Engineering from the University of Pavia, Italy, in 2003, 2005, and 2009, respectively. As a Ph.D. student he held a visiting position at the Department of Automation and Systems Engineering, University of Seville, Spain (8 months). From January 2009 to December 2010 he was a postdoctoral fellow in the Automatic Control Laboratory, ETH Z ├╝rich, Switzerland. In 2012 (March to June), 2013 (August to September) and 2014 (September to November) he was visiting scholar in Prof. Braatz Group, Department of Chemical Engineering, MIT , USA. From December 2010 to May 2015 he was Assistant Professor at University of Pavia, Italy. Since May 2015 he is Associate Professor at University of Pavia, Italy. He is the author or co-author of more than 60 papers published in refereed journals, edited books, and refereed conference proceedings. His current research interests include model predictive control, active fault diagnosis, fault-tolerant control, distributed control, renewable energy, autonomous surveillance, and control of glycemia in diabetics. Prof. Raimondo co-organized the NMPC Workshop on Assessment and Future Direction, Pavia, Italy, in 2008. He was also co-organizer of the invited sessions NMPC for IFAC NOLCOS 2010 , and New Developments in NMPC for IFAC NOLCOS 2007 . He served as international program committee member of the NMPC ’15, ADCHEM 2015 , ECC 2013, NMPC ’12. Moreover, he served as Conference Editorial Board member of the ECC 2015 , ECC 2014. He also served as Associate Editor of IFAC NOLCOS 2010 . Since May 2015, he is subject editor for the journal Optimal Control Applications and Methods.

This talk is part of the Control and Power Seminars series.

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