Informamos que as validações de submissão estarão suspensas de 20/12/2019 a 05/01/2020, devido ao recesso de final de ano
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Now showing items 1-10 of 10
Artificial neural network model of discharge lamps in the power quality context
(Journal of Control, Automation and Electrical Systems, 2013-06-01) [Artigo]
This paper presents a methodology for modeling high intensity discharge lamps based on artificial neural networks. The methodology provides a model which is able to represent the device operating in the frequency of ...
Neural models for predicting hole diameters in drilling processes
(Procedia CIRP, 2013) [Artigo]
The control of industrial manufacturing processes is of great economic importance due to the ongoing search to reduce raw materials and labor wastage. Indirect manufacturing operations such as dimensional quality control ...
Monitoring in precision metal drilling process using multi-sensors and neural network
(International Journal of Advanced Manufacturing Technology, 2013-04-01) [Artigo]
This paper presents a new method to estimate hole diameters and surface roughness in precision drilling processes, using coupons taken from a sandwich plate composed of a titanium alloy plate (Ti6Al4V) glued onto an aluminum ...
Identification of steel bars immersed in reinforced concrete based on experimental results of eddy current testing and artificial neural network analysis
(Nondestructive Testing and Evaluation, 2013-03-01) [Artigo]
This paper presents an experimental research on the use of eddy current testing (ECT) and artificial neural networks (ANNs) in order to identify the gauge and position of steel bars immersed in concrete structures. The ...
Neural models for predicting hole diameters in drilling processes
(Procedia CIRP, 2013) [Artigo]
The control of industrial manufacturing processes is of great economic importance due to the ongoing search to reduce raw materials and labor wastage. Indirect manufacturing operations such as dimensional quality control ...
Neural networks models for wear patterns recognition of single-point dresser
(IFAC Proceedings Volumes (IFAC-PapersOnline), 2013-09-24) [Trabalho apresentado em evento]
Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the ...
Fault location in underground systems using artificial neural networks and PSCAD/EMTDC
(INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, 2012-10-01) [Trabalho apresentado em evento]
The need for high reliability and environmental concerns are making the underground networks the most appropriate choice of energy distribution. However, like any other system, underground distribution systems are not free ...
Anfis applied to the prediction of surface roughness in grinding of advanced ceramics
(Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2011, 2011-12-01) [Trabalho apresentado em evento]
This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission ...
Application of MLP and Kohonen networks for recognition of wear patterns of single-point dressers
(IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013, 2013-04-03) [Trabalho apresentado em evento]
Grinding is a parts finishing process for advanced products and surfaces. However, continuous friction between the workpiece and the grinding wheel causes the latter to lose its sharpness, thus impairing the grinding ...
Dressing tool condition monitoring through impedance-based sensors: Part 2—neural networks and K-nearest neighbor classifier approach
(Sensors (Switzerland), 2018-12-01) [Artigo]
This paper presents an approach for impedance-based sensor monitoring of dressing tool condition in grinding by using the electromechanical impedance (EMI) technique. This method was introduced in Part 1 of this work and ...