Please login first
Jorge Alfredo Ardila Rey     Institute, Department or Faculty Head 
Timeline See timeline
Jorge Alfredo Ardila Rey published an article in July 2018.
Top co-authors
Guillermo Robles

66 shared publications

Department of Electrical Engineering, Universidad Carlos III de Madrid, Leganés, Spain

Nurul Aini Bani

25 shared publications

Universiti Teknologi Malaysia

10
Publications
3
Reads
0
Downloads
31
Citations
Publication Record
Distribution of Articles published per year 
(2013 - 2018)
Total number of journals
published in
 
5
 
Publications See all
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Statistical correlation between partial discharge pulses magnitudes measured in the HF and UHF range J. M. Martinez-Tarifa, G. Robles, J. M. Fresno, J. A. Ardila... Published: 01 July 2018
2018 IEEE 2nd International Conference on Dielectrics (ICD), doi: 10.1109/icd.2018.8514603
DOI See at publisher website
PROCEEDINGS-ARTICLE 1 Read 0 Citations Statistical correlation between partial discharge pulses magnitudes measured in the HF and UHF range J. M. Martinez-Tarifa, G. Robles, J. M. Fresno, J. A. Ardila... Published: 01 July 2018
2018 IEEE 2nd International Conference on Dielectrics (ICD), doi: 10.1109/icd.2018.8468369
DOI See at publisher website
Article 0 Reads 3 Citations Partial discharges and noise separation using spectral power ratios and genetic algorithms J.M. Fresno, J.A. Ardila-Rey, J.M. Martinez-Tarifa, G. Roble... Published: 01 February 2017
IEEE Transactions on Dielectrics and Electrical Insulation, doi: 10.1109/TDEI.2016.005898
DOI See at publisher website
Article 2 Reads 9 Citations Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions Abdullahi&nbspabubakar&nbspmas’ Ud, Ricardo&nbspalbarracín, ... Published: 25 July 2016
Energies, doi: 10.3390/en9080574
DOI See at publisher website ABS Show/hide abstract
In order to investigate how artificial neural networks (ANNs) have been applied for partial discharge (PD) pattern recognition, this paper reviews recent progress made on ANN development for PD classification by a literature survey. Contributions from several authors have been presented and discussed. High recognition rate has been recorded for several PD faults, but there are still many factors that hinder correct recognition of PD by the ANN, such as high-amplitude noise or wide spectral content typical from industrial environments, trial and error approaches in determining an optimum ANN, multiple PD sources acting simultaneously, lack of comprehensive and up to date databank of PD faults, and the appropriate selection of the characteristics that allow a correct recognition of the type of source which are currently being addressed by researchers. Several suggestions for improvement are proposed by the authors include: (1) determining the optimum weights in training the ANN; (2) using PD data captured over long stressing period in training the ANN; (3) ANN recognizing different PD degradation levels; (4) using the same resolution sizes of the PD patterns when training and testing the ANN with different PD dataset; (5) understanding the characteristics of multiple concurrent PD faults and effectively recognizing them; and (6) developing techniques in order to shorten the training time for the ANN as applied for PD recognition Finally, this paper critically assesses the suitability of ANNs for both online and offline PD detections outlining the advantages to the practitioners in the field. It is possible for the ANNs to determine the stage of degradation of the PD, thereby giving an indication of the seriousness of the fault.
Article 0 Reads 12 Citations Separation of sources in radiofrequency measurements of partial discharges using time–power ratio maps Ricardo Albarracin, Guillermo Robles, J.M. Martínez-Tarifa, ... Published: 01 September 2015
ISA Transactions, doi: 10.1016/j.isatra.2015.04.006
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 1 Citation Automatic selection of frequency bands for the power ratios separation technique in partial discharge measurements: part... J. A. Ardila-Rey, J. M. Martinez-Tarifa, Guillermo Robles, A... Published: 01 August 2015
IEEE Transactions on Dielectrics and Electrical Insulation, doi: 10.1109/tdei.2015.004822
DOI See at publisher website
Top