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Mateus Giesbrecht
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引用次数
引用次数
年份
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
372021
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
172022
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
132020
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
102021
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
92019
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
82018
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
72022
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
72010
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
62020
State Space Identification Algorithm based on Multivariable Impulse Response.
M Giesbrecht, G Barreto, CP Bottura
ICINCO (1), 476-483, 2018
62018
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
62015
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
62010
N4SID-VAR Method for Multivariable Discrete Linear Time-variant System Identification.
AE Robles, M Giesbrecht
ICINCO (1), 512-519, 2018
52018
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
52013
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
52010
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
42021
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
42020
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
42019
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
42019
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