Octuber 21, 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.
In this chapter we present a method to predict the optimal value of the Tikhonov’s regularization parameter by solving simplified versions of the inverse problems considered. This can be of great benefit since methods such as the L-curve and the… Read more
Octuber 21, 2022
Jiménez Sánchez, D., Quiñones Grueiro, M., Silva Neto, A. J. e Llanes Santiago, O., A Regularized Inverse Problem Approach for Robust Condition Monitoring in Industrial Systems, Capítulo, pp. 177-198, em Shi, P., Stefanovski, J. and Kacprzyk, J., (Eds) Complex Systems: Spanning Control and Computational Cybernetics: Foundations. Studies in Systems, Decision and Control, Vol. 415, ISBN: 978-3-031-00977-8 (Hardcover), 978-3-031-00978-5 (eBook), Editora Springer, Cham, 2022.
Condition monitoring is very important in modern industry in order to increase the safety of industrial plants and the economic benefits. Schemes based on model inversion or system inversion represent an important branch of the available solutions in model… Read more
July 14, 2021
Sánchez-Rivero, M., Quiñones-Grueiro, M., Cruz Corona, C., Silva Neto, A. J. e Llanes-Santiago, O., A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution, pp. 311-320, em Advances in Intelligent Systems and Computing, (Eds.), Vol. 950, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO-2019), ISSN 2194-5357, ISBN 978-3-030-20054-1, Editora Springer, 2019
The performance of popular leak location strategies that depend on the use of a leak sensitivity matrix (LSM) is highly dependent on the conditions used for generating such matrix. Since noise is present in real Water Distribution Networks (WDNs), the location… Read more
July 14, 2021
Rivera-Torres, P. J., Silva Neto, A. J. e Llanes-Santiago, O., Multiple Fault Diagnosis in Manufacturing Processes and Machines Using Probabilistic Boolean Networks, pp. 355-365, em Advances in Intelligent Systems and Computing, (Eds.), Vol. 950, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO-2019), ISSN 2194-5357, ISBN 978-3-030-20054-1, Editora Springer, 2019
Developing methodologies for fault diagnosis in industrial/manufacturing systems is an active area of research. In this paper, a fault diagnosis scheme based on the Probabilistic Boolean Networks (PBN) model is proposed for a group of machines in a manufacturing… Read more
July 21, 2021
Rodríguez-Ramos, A., Silva Neto, A. J. e Llanes Santiago, O., A Proposal of Hybrid Fuzzy Clustering Algorithm with Application in Condition Monitoring of Industrial Processes, Capítulo 1, pp. 3-30, em Uncertainty Management with Fuzzy and Rough Sets – Recent Advances and Applications, (Eds.), ISBN: 978-3-030-10462-7, Editora Springer, 2019
In this chapter a hybrid algorithm using fuzzy clustering techniques is presented. The algorithm is applied in a condition monitoring scheme with online detection of novel faults and automatic learning. The proposal, initially identifies the outliers based on data density… Read more
July 21, 2021
Camps Echevarría, L., Llanes Santiago, O. e Silva Neto, A. J., A Bioreactor Fault Diagnosis Based on Metaheuristics, Capítulo 7, pp. 139-163, em Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, (Eds.), ISBN: 978-3-319-96432-4, Editora Springer, 2018
Fault Diagnosis is a very important issue in the industry. Some essential topics in the industry, e.g. reliability, safety, efficiency, and maintenance, depend on the correct diagnosis of systems. Robustness in relation to external disturbances, which may affect the system… Read more
July 21, 2021
Rodríguez Ramos, A., Bernal de Lázaro, J.M., Silva Neto, A.J. e Llanes-Santiago, O., Fault Detection Using Kernel Computational Intelligence Algorithms, Capítulo 14, pp. 263-281, em Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, (Eds.), ISBN: 978-3-319-96432-4, Editora Springer, 2018
In this chapter an indirect optimization criterion for the parameter setting of the kernel-based fault detection process is applied. The procedures analyzed involve the data preprocessing through the Kernel Independent Component Analysis (KICA) method, and the … Read more
July 21, 2021
Rodríguez Ramos, A., Bernal de Lázaro, J.M., Silva Neto, A.J., Cruz Corona, C., Verdegay, J.L., Llanes-Santiago, O. (2018) An Approach to Fault Diagnosis Using Fuzzy Clustering Techniques. Capítulo, pp. 232-243, In: Kacprzyk J., Szmidt E., Zadrożny S., Atanassov K., Krawczak M. (eds) Advances in Fuzzy Logic and Technology 2017. IWIFSGN 2017, EUSFLAT 2017. Advances in Intelligent Systems and Computing, vol 643. Editora Springer, Cham
In this paper a novel approach to design data driven based fault diagnosis systems using fuzzy clustering techniques is presented. In the proposal, the data was first pre-processed using the Noise Clustering algorithm. This permits to eliminate outliers and reduce the… Read more