A5034212063- Magnetic Properties and Applications
- Non-Destructive Testing Techniques
- Microstructure and Mechanical Properties of Steels
- Magnetic properties of thin films
- Ultrasonics and Acoustic Wave Propagation
- Advanced Electrical Measurement Techniques
- Metallurgical Processes and Thermodynamics
- EEG and Brain-Computer Interfaces
- Neural Networks and Applications
- Power Transformer Diagnostics and Insulation
- Neuroscience and Neural Engineering
- Welding Techniques and Residual Stresses
- Theoretical and Computational Physics
- Gaze Tracking and Assistive Technology
- Structural Health Monitoring Techniques
- Sensor Technology and Measurement Systems
- Magneto-Optical Properties and Applications
- Magnetic Field Sensors Techniques
- Geomagnetism and Paleomagnetism Studies
- Metaheuristic Optimization Algorithms Research
- Magnetic Properties of Alloys
- Industrial Vision Systems and Defect Detection
- Image and Signal Denoising Methods
- Complex Systems and Time Series Analysis
- Transcranial Magnetic Stimulation Studies
Instituto Politécnico Nacional
2015-2024
Tecnológico Nacional de México
2024
Universidad Politécnica de Zacatecas
2015
Center for Research and Advanced Studies of the National Polytechnic Institute
2012
Universidade de São Paulo
2010-2012
Universidad de Oriente
2003-2010
Universidade Cidade de São Paulo
2010
Universidad de Oriente
2004-2008
This paper presents experimental evidence of the capability Barkhausen noise measurements to estimate angular dependence average magnetocrystalline energy in soft magnetic polycrystalline materials. Three different API 5L steel samples, all obtained from out-of-service pipelines, were investigated using crystallographic texture and measurements. The rms voltage signal was determined each sample for time band corresponding saturation-to-remanence part hysteresis loop where irreversible domain...
This work presents a method to identify processes in magnetization dynamics using the angular dependence of magnetic Barkhausen noise. The analysis reveals that three different could be identified noise energy. first process is reversed domain nucleation which related magneto-crystalline energy material, and second third ones are associated with 180° 90° walls motions, respectively. Additionally, two transition regions were they located between aforementioned processes. causes involving...
This work presents a model for the magnetic Barkhausen jump in low carbon content steels. The outcomes of evidence that height depends on coercive field pinning site and mean free path domain wall between sites. These results are used to deduce influence microstructural features magnetizing parameters amplitude duration jumps. In particular, theoretical expression, establishing dependence grain size, is obtained. also reveals applied frequency amplitude. Theoretical experimental presented...
This work proposes a Brain Computer Interface based on using multi-frequency visual stimulation and deep neural networks for signals classification. The use of stimulation, combined with new proposed coding method codifying up to 220 commands, which could be used create large multi-command brain computer interface. advantages this commands codification classification performance is analyzed in five the electroencephalographic interface was performed several algorithms. outcomes reveal that...
This paper presents experimental evidence of the correlation between magnetocrystalline energy (MCE) and Barkhausen noise (BHN) signal in three API 5L steel samples. The angular dependence MCE each sample was determined using r.m.s. values BHN time band fr om saturation to remanence, for positions ranging from 0 180 degrees, 10-degree steps. average also estimated set individual grain orientations measured by Electron Backscatter Diffraction (EBSD). MCEs measurements predicted EBSD...