Zobrazeno 1 - 10 of 49 pro vyhledávání: '"Celso José Munaro"'
1
Feature selection for multivariate contribution analysis in fault detection and isolation
Autor: Francisco de Assis Boldt, Celso José Munaro, 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
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2
Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells
Autor: Ricardo Emanuel Vaz Vargas, Bruno Guilherme Carvalho, Flávio Miguel Varejão, Ricardo Menezes Salgado, Celso José Munaro
Publikováno v: INDIN
Flow instability is a class of abnormal operation in subsea oil wells. Applying machine learning models and improving detection and classification performance is decisive to reduce operational costs and downtime. In this paper we evaluate a pipeline
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cb7eec1e12cc287ceb01dd5e4f9075c
https://doi.org/10.1109/indin45523.2021.9557415
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3
Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers
Autor: Ricardo Emanuel Vaz Vargas, Bruno Guilherme Carvalho, Celso José Munaro, Ricardo Menezes Salgado, Flávio Miguel Varejão
Publikováno v: ISIE
In offshore petroleum exploration, subsea systems are susceptible to a variety of undesirable events or faults, in which oil wells operation is considered abnormal. Proper detection and classification of such events is crucial in order to reduce down
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f8bcc596580d7df227f65b6c5be2d9a2
https://doi.org/10.1109/isie45552.2021.9576310
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5
Feature extraction in an ensemble of multiple local classifiers for fault diagnosis in industrial processes
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
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7
Actuator stiction compensation via variable amplitude pulses
Autor: O.F.B. Angarita, B.M.S. Arifin, M.V.G. Cypriano, Celso José Munaro, Sirish L. Shah
Publikováno v: ISA Transactions. 73:239-248
A novel model free stiction compensation scheme is developed which eliminates the oscillations and also reduces valve movement, allowing good setpoint tracking and disturbance rejection. Pulses with varying amplitude are added to the controller outpu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e3dc5833dea7d11a8dea167e429de9b
https://doi.org/10.1016/j.isatra.2018.01.010
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9
Isolation of plant-wide faults using causality detection methods
Autor: Celso José Munaro, Guilherme M. Garcia
Publikováno v: IFAC-PapersOnLine. 49:13-18
Isolation of plant-wide faults in large-scale complex systems is particularly challenging. A methodology to detect and isolate faults is proposed, detecting the faulty variables using univariate control charts and the causality information between th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbe3b9c258a79ba498b01f0f0c791c45
https://doi.org/10.1016/j.ifacol.2016.07.209
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10
Reducing wear of sticky pneumatic control valves using compensation pulses with variable amplitude
Autor: Filipe Amorim da Silva, Oscar F.B. Angarita, Celso José Munaro, Marcos Vinicios Gomes Cypriano, Gabriel B. de Castro
Publikováno v: IFAC-PapersOnLine. 49:389-393
The presence of friction in control valves produces limit cycles that reduces the performance of control loops. Once friction is detected, its compensation avoids process stops until the next maintenance stop is performed. Model free methods adding f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e766b6d0b2f59130ef8e0ac461aefc8d
https://doi.org/10.1016/j.ifacol.2016.07.370
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