Faults detection and classification in a centrifugal pump from vibration data using markov parameters JPS Gonçalves, F Fruett, JG Dalfré Filho, M Giesbrecht Mechanical Systems and Signal Processing 158, 107694, 2021 | 37 | 2021 |
Partial discharges monitoring for electric machines diagnosis: A review JS Cruz, F Fruett, RR Lopes, FL Takaki, CA Tambascia, ER Lima, ... Energies 15 (21), 7966, 2022 | 17 | 2022 |
Low-cost MEMS accelerometer network for rotating machine vibration diagnostics LA dos Santos Pedotti, RM Zago, M Giesbrecht, F Fruett IEEE Instrumentation & Measurement Magazine 23 (7), 25-33, 2020 | 13 | 2020 |
Clearness index forecasting: A comparative study between a stochastic realization method and a machine learning algorithm GS Martins, M Giesbrecht Renewable Energy 180, 787-805, 2021 | 10 | 2021 |
Energy consumption forecasting using SARIMA and NARNET: An actual case study at university campus JA Zancanaro, OL dos Santos, LF Ugarte, M Giesbrecht, MC de Almeida 2019 IEEE PES Innovative Smart Grid Technologies Conference-Latin America …, 2019 | 9 | 2019 |
Detailed derivation and experimental validation of a method for obtaining load conditions for salient pole synchronous machine quadrature axis parameters determination M Giesbrecht, LAE Meneses IEEE transactions on industrial electronics 66 (7), 5049-5056, 2018 | 8 | 2018 |
Machine learning algorithms for dengue risk assessment: a case study for São Luís do Maranhão FP Rocha, M Giesbrecht Computational and Applied Mathematics 41 (8), 393, 2022 | 7 | 2022 |
Computational modeling of multivariable non-stationary time series in the state space by the aoki var algorithm J Tobar, CP Bottura, M Giesbrecht Proceedings of the 2010 World congress on Engineering, 2010 | 7 | 2010 |
Application of differential evolution to multi-objective tuning of vibration spectrum analyzers based on microelectromechanical systems YQ Marinho, F Fruett, M Giesbrecht Engineering Applications of Artificial Intelligence 97, 104071, 2021 | 6* | 2021 |
Multi-cell SOC estimation for Li-Ion battery applied to an energy storage system JCM de Souza Aranha, M Giesbrecht 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE …, 2020 | 6 | 2020 |
State Space Identification Algorithm based on Multivariable Impulse Response. M Giesbrecht, G Barreto, CP Bottura ICINCO (1), 476-483, 2018 | 6 | 2018 |
Recursive immuno-inspired algorithm for time variant discrete multivariable dynamic system state space identification M Giesbrecht, CP Bottura International Journal of Natural Computing Research (IJNCR) 5 (2), 69-100, 2015 | 6 | 2015 |
An immuno-inspired approach to find the steady state solution of riccati equations not solvable by schur method M Giesbrecht, CP Bottura IEEE Congress on Evolutionary Computation, 1-8, 2010 | 6 | 2010 |
N4SID-VAR Method for Multivariable Discrete Linear Time-variant System Identification. AE Robles, M Giesbrecht ICINCO (1), 512-519, 2018 | 5 | 2018 |
Propostas imuno-inspiradas para identificação de sistemas e realização de séries temporais multivariáveis no espaço de estado M Giesbrecht PhD thesis, Universidade Estadual de Campinas, 2013 | 5 | 2013 |
Uma proposta imuno-inspirada para a solução algébrica da equação de Ricatti no problema de identificação de séries temporais no espaço de estado M GIESBRECHT, CP BOTTURA XVIII Congresso Brasileiro de Automática, 2010 | 5 | 2010 |
Detection of broken rotor bars in induction motors through the k-nn algorithm combined with a deterministic-stochastic subspace method for system identification RR da Silva, M Giesbrecht IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021 | 4 | 2021 |
Synchronous machine parameters identification from data acquired during operative range test MCA Rocha, LAE Meneses, M Giesbrecht 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 368-373, 2020 | 4 | 2020 |
Aplicação de identificação caixa cinza e estimação recursiva na detecção de falha de um motor cc sem escovas (BLDC) JPS Gonçalves, VS Tanaka, M Giesbrecht Congresso Brasileiro de Automática-CBA 1 (1), 2019 | 4 | 2019 |
Identificação recursiva de sistemas dinâmicos contínuos variantes no tempo através do filtro de kalman estendido e da filtragem de variáveis de estado pelo método dos mínimos … FL Rossini, M Giesbrecht Congresso Brasileiro de Automática-CBA 1 (1), 2019 | 4 | 2019 |