Ademir Nied

According to our database1, Ademir Nied authored at least 13 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers.
J. Intell. Fuzzy Syst., 2021

Practical Aspects of the Skin Effect in Low Frequencies in Rectangular Conductors.
IEEE Access, 2021

2020
Optimized Ensemble Extreme Learning Machine for Classification of Electrical Insulators Conditions.
IEEE Trans. Ind. Electron., 2020

Enhanced Braking Control for the Induction Machine Using Scalar Control.
IEEE Trans. Ind. Electron., 2020

2019
Fault diagnosis of insulators from ultrasound detection using neural networks.
J. Intell. Fuzzy Syst., 2019

2018
Design and Comparison of Three-Phase and Five-Phase FTFSCW-IPM Motor Open-End Winding Drive Systems for Electric Vehicles Applications.
IEEE Trans. Veh. Technol., 2018

2015
Evaluation of constrained and unconstrained SESSMPC applied in five-phase PMSM.
Proceedings of the 24th IEEE International Symposium on Industrial Electronics, 2015

Evaluation of constrained SESSMPC to drive a three-phase PMSM applied in washing machines.
Proceedings of the 24th IEEE International Symposium on Industrial Electronics, 2015

2013
Improving washing machine performance using single-phase induction motor field-oriented control.
Proceedings of the IECON 2013, 2013

2012
Sensorless indirect vector control of an induction machine with a Scott-T connection in the stator.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2011
Benchmark for Peak Detection Algorithms in Fiber Bragg Grating Interrogation and a New Neural Network for its Performance Improvement.
Sensors, 2011

2008
Soft Starting of Induction Motor with Torque Control.
Proceedings of the Industry Applications Society Annual Meeting, 2008

2007
On-line neural training algorithm with sliding mode control and adaptive learning rate.
Neurocomputing, 2007


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