October 24, 2022
Llanes Santiago, O., Silva Neto, A. J., Quiñones Grueiro, M., Prieto Moreno, A., Rodríguez Ramos, A., Bernal de Lázaro, J. M., Verde Rodarte, C., Camps Echevarría, L., Verdegay Galdeano, J. L., Cruz Corona, C., Sánchez Rivero, M., Knupp, D. C., Rivera Torres, P., Campos Velho, H. F., Nuevos Paradigmas em el Diagnóstico de Fallos em Sistemas Industriales – Premio Anual Academia de Ciencias de Cuba, 2020, Anales de la Academia de Ciencias de Cuba, Vol. 12, No. 1, 2022, pp. e1033.1-9.
Introduction. To achieve high levels of quality production with efficient use of raw materials, industries must have fault diagnosis systems for processing and analyzing the information obtained through data acquisition and control systems. The performance of fault diagnosis systems… Read more
October 24, 2022
Vieira, L. W., Marques, A. D., Duarte, J., Zanardo, R. P., Schneider, P. S., Viana, F. A. C., Silva Neto, A. J., Centeno, F. R., Hunt, J. D. e Siluk, J. C. M., Operational Guide to Stabilize, Standardize and Increase Power Plant Efficiency, Applied Energy, Vol. 315, pp. 118973.1-12, 2022.
Complex engineering systems, such as power plants, deliver their best performance when operating along a designed range of some priority parameters. However, plant field operation may deviate from design conditions, and new references must be identified. Actions towards… Read more
October 24, 2022
Bernal-de-Lázaro, J. M., Cuz-Corona, C., Silva Neto, A. J. e Llanes-santiago, O, Criteria for Optimizing Kernel Methods in Fault Monitoring Process: A Survey, ISA Transactions, Vol. 127, pp. 259-272, 2022.
Nowadays, how to select the kernel function and their parameters for ensuring high-performance indicators in fault diagnosis applications remains as two open research issues. This paper provides a comprehensive literature survey of kernel-preprocessing methods… Read more
October 24, 2022
Jardim, L. C. S., Knupp, D. C., Domingos, R. P., Abreu, L. A. S., Cruz Corona, C. e Silva Neto, A. J., Contact Failure Identification in Multilayered Media via Artificial Neural Networks and Autoencoders, Anais da Academia Brasileira de Ciências, Vol. 94, Suppl. 3, pp. e20211577.1-21, 2022.
The estimation of defects positioning occurring in the interface between different materials is performed by using an artificial neural network modeled as an inverse heat conduction problem. Identifying contact failures in the bonding process of different materials is crucial… Read more
July 08, 2021
Souza, N. G. S., Lugon Jr., J., Yamasaki, E., Kyriakides, I. e Silva Neto, A. J., Parameter Sensitivity Study and Water Properties Infuence: An Evaluation of the Determining Factors on Oil Drifiting Effect, Revista CEREUS, Vol. 13, No. 1, pp. 186-198, 2021
The Eastern Mediterranean Sea is a complex location for oil spill trajectory prediction, and accurate results are necessary for emergency response plans. Furthermore, the heavy traffic … Read more
July 09, 2021
Quiñones Grueiro, M., Ares Milán, M., Sánchez Rivero, M., Silva Neto, A. J. e Llanes Santiago, O., Robust Leak Localization in Water Distribution Networks Using Computational Intelligence, Neurocomputing, Vol. 438, pp. 195-208, 2021
The search for new strategies for leak detection, estimation and localization in Water Distributions Networks (WDNs) is a state-of-the-art research topic. In this paper, a methodology for leak detection, estimation and location that combines … Read more
July 08, 2021
Lugon Jr., J., Juliano, M. M., Kyriakides, I., Yamasaki, E. N., Rodrigues, P. P. G. W. e Silva Neto, A. J., Environmental Hydrodynamic Modelling Applied to Extreme Events in Caribbean and Mediterranean Countries, Desalination and Water Treatment, Vol. 194, pp. 315-323, 2020
There has been in recent years an increase in interest and concerns about natural disasters, both in the scientific community and the society, in relation to their frequency and intensity, the association to global warming, and cyclones … Read more
July 08, 2021
Lugon Jr., J., Kalas, F. A., Rodrigues, P. P. G. W., Jeveaux, J. L., Gallo Neto, H., Juliano, M. M. e Silva Neto, A. J., Lagrangian Trajectory Simulation of Floating Objects in the State of São Paulo Coastal Region, Defect and Diffusion Forum (DDF), Vol. 396, pp. 42-49, 2019
July 08, 2021
Lugon Jr., J., Kalas, F. A., Rodrigues, P. P. G. W., Juliano, M. M., Gallo Neto, H., Jeveaux, J. L. e Silva Neto, A. J., Application of MOHID Platform to Simulate the Drift of Cetaceans Stranded in Coastal Regions. A Case Study in the Paulista Coastline, Revista CEREUS, Vol. 11, No. 3, pp. 178-189, 2019
In this work it is simulated the trajectory of a beached whale sighted near Ilhabela region, in Sao Paulo coastline, Brazil, in November, 2017. The computational implementation was performed on the MOHID platform (Hydrodynamic Model) … Read more
July 09, 2021
Bernal de Lázaro, J. M., Rodríguez Ramos, A., Cruz Corona, C., Silva Neto, A. J. e Llanes-Santiago, O., Optimal Kernel Parameter Setting for Faults Detection with Stochastic Methods and Data Preprocessing, Revista CEREUS, Vol. 11, No. 1, pp. 195-209, 2019
In this paper, an indirect optimization criterion for parameter setting the kernel-based fault detection process is applied. The procedure analyzed involves the data preprocessing through the Kernel Independent Component Analysis (KICA) method … Read more
July 09, 2021
Llanes Santiago, O., Rivero Benedico, B. C., Gálvez Viera, S. C., Rodríguez Morant, E. F., Torrez Cabeza, R. e Silva Neto, A. J., A Fault Diagnosis Proposal with Online Imputation to Incomplete Observations in Industrial Plants, Revista Mexicana de Ingeniería Química, Vol. 18, No. 01, pp. 83-98, 2019
In this paper, the problem of fault diagnosis in complex industrial systems in the presence of missing data is addressed. Firstly, how to perform online imputation when there are missing values in the observations obtained by the data acquisition … Read more
July 09, 2021
Bernal de Lázaro, J. M., Llanes Santiago, O., Prieto Moreno, A., del Castillo-Serpa, A. e Silva Neto, A. J., A Novel Index for the Robustness Comparison of Classifiers in Fault Diagnosis, Neurocomputing, Vol. 275, pp. 636-648, 2018
The design of robust data-based fault diagnostic systems can be formulated in terms of classification tasks. A diagnostic classifier designed to effectively minimize the false and missing alarm rates resulting from noise, uncertainty … Read more
July 09, 2021
Rodríguez Ramos, A., Silva Neto, A. J. e Llanes Santiago, O., An Approach to Fault Diagnosis with Online Detection of Novel Faults Using Fuzzy Clustering Tools, Expert Systems with Applications, Vol. 113, pp. 200-212, 2018
This paper presents an approach to fault diagnosis with online detection of novel faults and automatic learning using fuzzy clustering techniques. In the off-line learning stage, the classifier is trained to diagnose the known faults and … Read more
Jardim, L. C. S., Knupp, Barros, T. M. S. M., Abreu, L. A. S., Corona, C. C. e Silva Neto, A. J., Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems, Capítulo, pp. 109-129, em Verdegay, J. L., Brito, J., and Cruz Corona, C., (Eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, Vol. 1036, ISBN: 978-3-030-97343-8 (Hardcover), 978-3-030-97344-5 (eBook), Editora Springer, Cham, 2022.
Jardim, L. C. S., Knupp, Barros, T. M. S. M., Abreu, L. A. S., Corona, C. C. e Silva Neto, A. J., Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems, Capítulo, pp. 109-129, em Verdegay, J. L., Brito, J., and Cruz Corona, C., (Eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, Vol. 1036, ISBN: 978-3-030-97343-8 (Hardcover), 978-3-030-97344-5 (eBook), Editora Springer, Cham, 2022.
Jardim, L. C. S., Knupp, Barros, T. M. S. M., Abreu, L. A. S., Corona, C. C. e Silva Neto, A. J., Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems, Capítulo, pp. 109-129, em Verdegay, J. L., Brito, J., and Cruz Corona, C., (Eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, Vol. 1036, ISBN: 978-3-030-97343-8 (Hardcover), 978-3-030-97344-5 (eBook), Editora Springer, Cham, 2022.