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Diagnosis, prognosis and fault accommodation for dynamical systems

Abstract

The prevention and prompt correction of faults are of paramount importance in the operation of critical systems such as medical equipments, aircrafts, chemical plants and nuclear reactors. Apart from possible environmental impacts and safety of the operators and users, the improvements on reliability and ready management of possible system faults can yield reduced operational costs, limits losses due to material damages and augments the availability of eventually highly valuable equipments. In this context, the present project proposes to investigate new methods for the diagnosis, prognosis and accommodation of faults that are applicable to dynamical systems. For instance, the automated detection of faults allows one to immediately alter the operation mode to keep a certain degree of functionality of the system, or, otherwise, trigger an alarm. Even if the equipment stops operating, the availability of an efficient diagnosis mechanism can be of value to promote easy location of the faulty component, so as to reduce the maintenance time-lag. It is also possible to design the equipment in such a manner that it becomes robust to some types of faults or, alternatively, be endowed with a capability to reconfigure itself to tolerate faults. In other applications, methods for fault prognosis can be exploited in the scheduling of preventive or condition based maintenance procedures, via close monitoring of trends related to degeneration of some components and devices. The multidisciplinary perspective required to study the subject leads, in a natural way, to a strong and synergic action of several research groups with mixed and complementary backgrounds. More specifically, the assembled research team has a wide variety of competence that spans from signal processing to artificial intelligence and from system theory to statistics. (AU)

Scientific publications (8)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MATOS CAVALCA, MARIANA SANTOS; HARROP GALVAO, ROBERTO KAWAKAMI; YONEYAMA, TAKASHI. Robust linear matrix inequality-based model predictive control with recursive estimation of the uncertainty polytope. IET Control Theory and Applications, v. 7, n. 6, p. 901-909, APR 2013. Web of Science Citations: 4.
PAIVA, HENRIQUE MOHALLEM; HARROP GALVAO, ROBERTO KAWAKAMI. Optimized orthonormal wavelet filters with improved frequency separation. DIGITAL SIGNAL PROCESSING, v. 22, n. 4, p. 622-627, JUL 2012. Web of Science Citations: 9.
RUBENS JUNQUEIRA MAGALHÃES AFONSO; ROBERTO KAWAKAMI HARROP GALVÃO. Uso de conjuntos terminais parametrizados para tratamento de problemas de não-factibilidade em controle preditivo. Sba : Controle & Automação, v. 23, n. 6, p. 653-666, Dez. 2012.
VICTOR M. BECERRA; ROBERTO KAWAKAMI HARROP GALVÃO. Um tutorial sobre métodos pseudo-espectrais para controle ótimo computacional. Sba : Controle & Automação, v. 21, n. 3, p. 224-244, Jun. 2010.
ANDERSON DA SILVA SOARES; ROBERTO K. H GALVÃO; MÁRIO CÉSAR U ARAÚJO; SÓFACLES F. C SOARES; LUIZ ALBERTO PINTO. Multi-core computation in chemometrics: case studies of voltammetric and NIR spectrometric analyses. Journal of the Brazilian Chemical Society, v. 21, n. 9, p. 1626-1634, 2010.
GARCIA, JOSE PAULO F.; GARCIA, LIZETE MARIA C. F.; APOLINARIO, GISELE C.; RODRIGUES, FERNANDO B. Sliding mode for detection and accommodation of computation time delay fault. MATHEMATICS AND COMPUTERS IN SIMULATION, v. 80, n. 2, p. 449-465, OCT 2009. Web of Science Citations: 6.
MAIA, MARCELO H.; GALVAO, ROBERTO K. H. On the use of mixed-integer linear programming for predictive control with avoidance constraints. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, v. 19, n. 7, p. 822-828, MAY 10 2009. Web of Science Citations: 13.
PAIVA, HENRIQUE MOHALLEM; MARTINS, MARCELO NASCIMENTO; HARROP GALVAO, ROBERTO KAWAKAMI; LISBOA MOHALLEM PAIVA, JULIANA PEREIRA. On the Space of Orthonormal Wavelets: Additional Constraints to Ensure Two Vanishing Moments. IEEE SIGNAL PROCESSING LETTERS, v. 16, n. 1-3, p. 101-104, JAN-MAR 2009. Web of Science Citations: 9.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.