Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Thiago de M. Prego"'
Autor:
Dionísio H. C. S. S. Martins, Amaro A. de Lima, Milena F. Pinto, Douglas de O. Hemerly, Thiago de M. Prego, Fabrício L. e Silva, Luís Tarrataca, Ulisses A. Monteiro, Ricardo H. R. Gutiérrez, Diego B. Haddad
Publikováno v:
Journal of Intelligent Manufacturing. 34:1795-1813
Autor:
Denys Pestana Viana, Ulisses A. Monteiro, Ricardo H. R. Gutiérrez, Milena F. Pinto, Luís Tarrataca, Amaro A. de Lima, Dionisio Henrique Carvalho de Sá Só Martins, Thiago de M. Prego, Diego B. Haddad, Fabrício Lopes e Silva
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 114:3077-3092
Failure detection from mechanical vibration analysis is crucial in industry machinery, with early discovery allowing for preventive action to be performed. This paper introduces a prototype of an IoT system capable of (i) identifying combined failure
Autor:
Viviane Alves, Gabriel Araújo, Thiago de M. Prego, Henrique Alves, Amaro A. de Lima, Tayana M. Dias, Roberto Pontes, Lucas Pinheiro
Publikováno v:
2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE).
Every year, thousands of people die from diseases such as dengue fever, chikungunya, and zika. This public health problem is more evident in developing countries. All these illnesses have the same source in common: a mosquito scientifically known as
Autor:
Thiago de M. Prego, Eduardo A. B. da Silva, Sergio L. Netto, Ricardo Emanuel Vaz Vargas, Bettina D 'Avila Barros, Marcello L. R. de Campos, Matheus Araújo Marins, Amaro A. de Lima, Daniel C. Barrionuevo, Ismael Santos
Publikováno v:
Journal of Petroleum Science and Engineering. 197:107879
This papers deals with the automatic detection and classification of faulty events during the practical operation of oil and gas wells and lines. The events considered here are part of the publicly available 3W database developed by Petrobras, the Br
Autor:
Luiz Felipe Hupsel Vaz, Ricardo H. R. Gutiérrez, Ulisses A. Monteiro, Fabrício Lopes e Silva, Thiago de M. Prego, Denys Pestana-Viana, Amaro A. de Lima
Publikováno v:
Mechanisms and Machine Science ISBN: 9783319992679
The objective of this work is the fault diagnosis in diesel engines to assist the predictive maintenance, through the analysis of the variation of the pressure curves inside the cylinders and the torsional vibration response of the crankshaft. Hence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19b70b38a188d733e8b57391fd02c4e8
https://doi.org/10.1007/978-3-319-99268-6_6
https://doi.org/10.1007/978-3-319-99268-6_6
Autor:
Fabrício Lopes e Silva, Matheus Araújo Marins, Dionisio Henrique Carvalho de Sá Só Martins, Douglas O. Hemerly, Sergio L. Netto, Felipe Ribeiro, Amaro A. de Lima, Thiago de M. Prego, Eduardo A. B. da Silva
Publikováno v:
Mechanisms and Machine Science ISBN: 9783319992679
This paper proposes two modifications in a classification method for unbalancing fault severity analysis in rotating machines based on the unbalancing mass force. The unbalancing severity was categorized into three severity levels, namely High (H), M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e541a15f7b2df5f9f563533984c2f25
https://doi.org/10.1007/978-3-319-99268-6_11
https://doi.org/10.1007/978-3-319-99268-6_11
Autor:
Thiago de M. Prego, Eduardo A. B. da Silva, Sergio L. Netto, Jose F. L. de Oliveira, Alessandro J. S. Dutra
Publikováno v:
Digital Signal Processing. 34:67-73
Frequency-estimation algorithms devised for complex sinusoids, including the maximum-likelihood (ML) approach, when operating on real sinusoidal signals, suffer from spectral interference due to the superposition of the aliasing components at negativ
Publikováno v:
MMSP
This paper describes an enhancement strategy based on several perceptual-assessment criteria for dereverberation algorithms. The complete procedure is applied to an algorithm for reverberant speech enhancement based on single-channel blind spectral s
Autor:
Thiago de M. Prego, Eduardo A. B. da Silva, Rafael Zambrano-Lopez, Amaro A. de Lima, Sergio L. Netto, Denys Pestana-Viana
Publikováno v:
LASCAS
This paper investigates the problem of automatic detection of rotating-machine faults based on vibration signals acquired during machine operation. In particular, two new signal features, namely the kurtosis and entropy, are considered along with mai
Publikováno v:
LASCAS
This paper addresses the problem of anomaly detection on rotating machinery in industrial environments using single channel audio signals. The proposed algorithm is based on image processing feature analysis obtained from the image representation of