Thomas W. Rauber

◀ ▶ joint publications with Francisco de Assis Boldt

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Publications

2021
[j8]
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Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão:
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. Expert Syst. Appl. 167: 114022 (2021)
2020
[j7]
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  - journals/jfi/RauberBM20
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Thomas W. Rauber, Francisco de Assis Boldt, Celso José Munaro:
Feature selection for multivariate contribution analysis in fault detection and isolation. J. Frankl. Inst. 357(10): 6294-6320 (2020)
2017
[j4]
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  - journals/ijon/BoldtRV17
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Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239: 238-248 (2017)
[c27]
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  - conf/ijcnn/RauberOBRVR17
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Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN 2017: 3347-3354
[c26]
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  - conf/isie/BoldtRORVR17
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Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE 2017: 1807-1812
2015
[j3]
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  - journals/tie/RauberBV15
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Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão:
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62(1): 637-646 (2015)
[c23]
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Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI 2015: 697-704
[c22]
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  - conf/indin/BoldtRVR15
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Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. INDIN 2015: 127-132
2014
[c19]
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  - conf/iecon/BoldtRV14
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Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. IECON 2014: 2551-2557
[c18]
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  - conf/indin/BoldtRVR14
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Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. INDIN 2014: 67-72
2013
[c16]
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  - conf/icecsys/RauberBVR13
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Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Feature models and condition visualization for rotating machinery fault diagnosis. ICECS 2013: 265-268
[c15]
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  - conf/icecsys/RauberBVR13a
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Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. ICECS 2013: 477-480

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