Zobrazeno 1 - 8
of 8
pro vyhledávání: '"David N. Coelho"'
Autor:
David N. Coelho, Guilherme A. Barreto
Publikováno v:
Neural Processing Letters. 54:1679-1706
Autor:
Guilherme A. Barreto, David N. Coelho
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030196417
WSOM
WSOM
The approximate linear dependence (ALD) method is a sparsification procedure used to build a dictionary of samples extracted from a dataset. The extracted samples are approximately linearly independent in a high-dimensional kernel reproducing Hilbert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f330265b92f090dcefa61c0abe8c7e67
https://doi.org/10.1007/978-3-030-19642-4_24
https://doi.org/10.1007/978-3-030-19642-4_24
Autor:
David C. C. Freitas, Thiago Alves Lima, David N. Coelho, Arthur Plínio de Souza Braga, Edson Cavalcanti Neto, Hugerles S. Silva
Publikováno v:
Proceedings XXII Congresso Brasileiro de Automática.
Publikováno v:
WSOM
In this work we report the results of a comprehensive study involving the application of kernel self-organizing maps (KSOM) for early detection of interturn short-circuit faults in a three-phase converter-fed induction motor. For this purpose, two pa
Publikováno v:
CIES
This paper aims at the detection of short-circuit incipient fault condition in a three-phase squirrel-cage induction motor fed by a sinusoidal PWM converter. In order to detect this fault, different operation conditions are applied to an induction mo
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642352294
WSOM
WSOM
An offline two-dimensional SOM neural based algorithm is used in order to supervise a three-phase squirrel-cage induction motor and detect short-circuit incipient fault condition. A sinusoidal PWM inverter is used to feed the motor and some component
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ead2aaadaff91021e5e1d8775c5a11b
https://doi.org/10.1007/978-3-642-35230-0_32
https://doi.org/10.1007/978-3-642-35230-0_32
Publikováno v:
Neural Processing Letters; Jun2022, Vol. 54 Issue 3, p1679-1706, 28p
This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since