Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Thomas W. Rauber"'
Publikováno v:
Journal of the Franklin Institute. 357:6294-6320
This paper presents a multivariate linear contribution analysis in the context of fault detection, isolation and diagnosis. The usually univariate contribution analysis in fault isolation is improved by the use of feature selection. The fault index a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80677f3908db814eeabd640b5a7f0d5
https://doi.org/10.1016/j.jfranklin.2020.03.005
https://doi.org/10.1016/j.jfranklin.2020.03.005
Publikováno v:
Pattern Recognition Letters. 117:45-51
In multi-label learning a single object can be associated with multiple labels simultaneously. In a context where labels follow a random distribution, every labelling has a probability of occurrence. Thus, any prediction is associated with an expecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd2062b858dbafb589fade1651f315c9
https://doi.org/10.1016/j.patrec.2018.11.015
https://doi.org/10.1016/j.patrec.2018.11.015
Autor:
Patrick Marques Ciarelli, Gustavo B. Santi, Victor N. Rebli, Arthur A. Assis, Celso José Munaro, Thomas W. Rauber
Publikováno v:
IFAC-PapersOnLine. 52:293-298
This work proposes a classification model for fault diagnosis. In a first stage, an unsupervised clustering algorithm discovers groups of potential fault classes. Subsequently, a specialized classifier is trained for each of the clusters, thus dimini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e953cdfdf874e74aee3abf9548ff9a
https://doi.org/10.1016/j.ifacol.2019.06.077
https://doi.org/10.1016/j.ifacol.2019.06.077
Autor:
null Gercilio C. Zuqui Jr., null Thomas W. Rauber, null Eduardo Carneiro de Assis, null Patrick Marques Ciarelli, null Celso J. Munaro
Publikováno v:
Procedings do XV Simpósio Brasileiro de Automação Inteligente.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600fe0be694339c0a34c6cc026b9ed2f
https://doi.org/10.20906/sbai.v1i1.2850
https://doi.org/10.20906/sbai.v1i1.2850
Publikováno v:
IJCNN
In the Oil and Gas industry, estimating a subsurface velocity field is an essential step in seismic processing, reservoir characterization, and hydrocarbon volume calculation. Full-waveform inversion (FWI) velocity modeling is an iterative advanced t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8354b1cf5b0a7d32b5adf37c0daca7d
Autor:
Alexandre Rodrigues, Thiago Oliveira-Santos, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Victor F. Rocha, Thomas W. Rauber
Publikováno v:
Integrated Computer-Aided Engineering. 25:381-396
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89fa1f739b0b875dbfbef1bcbea48ec3
https://doi.org/10.3233/ica-180574
https://doi.org/10.3233/ica-180574
Publikováno v:
Neurocomputing. 239:238-248
This work presents the concept of Cascade Feature Selection to combine feature selection methods. Fast and weak methods, like ranking, are placed on the top of the cascade to reduce the dimensionality of the initial feature set. Thus, strong and comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfafb9e4bb8be24dfdb581d5afc0de36
https://doi.org/10.1016/j.neucom.2017.02.025
https://doi.org/10.1016/j.neucom.2017.02.025
Autor:
Flávio Miguel Varejão, Antonio Luiz da Silva Loca, Alexandre Rodrigues, Thomas W. Rauber, Francisco de Assis Boldt
Publikováno v:
Expert Systems with Applications. 167:114022
This paper presents a systematic procedure to fairly compare experimental performance scores for machine learning methods for fault diagnosis based on vibration signals. In the vast majority of related scientific publications, the estimated accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03f68c82b9e6aa850d0acd6fe49e42a9
https://doi.org/10.1016/j.eswa.2020.114022
https://doi.org/10.1016/j.eswa.2020.114022
Autor:
Celso José Munaro, Gustavo B. Santi, Thomas W. Rauber, Victor N. Rebli, Patrick Marques Ciarelli
Publikováno v:
Proceeding XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67972bcbaf26e9f9a3a52cc90e06b040
https://doi.org/10.21528/cbic2017-63
https://doi.org/10.21528/cbic2017-63
Publikováno v:
IEEE Transactions on Industrial Electronics. 62:637-646
Distinct feature extraction methods are simultaneously used to describe bearing faults. This approach produces a large number of heterogeneous features that augment discriminative information but, at the same time, create irrelevant and redundant inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd2ca1ce6e5af56c1bdd92453893393
https://doi.org/10.1109/tie.2014.2327589
https://doi.org/10.1109/tie.2014.2327589