Now showing items 1-10 of 10

  • Annual prediction output of an RADTIRC-PV module 

    Freier, Daria; Muhammad-Sukki, Firdaus; Abu-Bakar, Siti Hawa; Ramirez-Iniguez, Roberto; Munir, Abu Bakar; Yasin, Siti Hajar Mohd; Bani, Nurul Aini; Mas’ud, Abdullahi Abubakar; Ardila-Rey, Jorge Alfredo; Karim, Md Ershadul (MDPI http://www.mdpi.com/1996-1073/11/3/544, 2018-03-03)
    FREIER, D., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H., RAMIREZ-INIGUEZ, R., MUNIR, A.B., YASIN, S.H.M., BANI, N.A., MAS'UD, A.A., ARDILA-REY, J.A. and KARIM, M.E. 2018. Annual prediction output of an RADTIRC-PV module. Energies [online], 11(3), article ID 544. Available from: http://www.mdpi.com/1996-1073/11/3/544
    The number of solar photovoltaic (PV) installations has been increasing worldwide but the high capital cost of installation continues to be the main challenge, particularly in many developing countries. The solar concentrator, ...
  • Artificial neural network application for partial discharge recognition: survey and future directions. 

    Mas'ud, Abdullahi Abubakar; Albarracin, Ricardo; Ardila-Rey, Jorge Alfredo; Muhammad-Sukki, Firdaus; Illias, Hazlee Azil; Bani, Nurul Aini; Munir, Abu Bakar (MDPI http://dx.doi.org/10.3390/en9080574, 2016-07-25)
    MASUD, A.A., ALBARRACIN, R., ARDILA-REY, J.A., MUHAMMAD-SUKKI, F., ILLIAS, H.A., BANI, N.A. and MUNIR, A.B. 2016. Artificial neural network application for partial discharge recognition: survey and future directions. Energies [online], 9(8), article number 574. Available from: http://dx.doi.org/10.3390/en9080574
    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 ...
  • Comparison of artificial neural network and multiple regression for partial discharge sources recognition. 

    Mas'ud, Abdullahi Abubakar; Muhammad-Sukki, Firdaus; Albarracin, Ricardo; Ardila-Rey, Jorge Alfredo; Abu-Bakar, Siti Hawa; Aziz, Nur Fadilah Ab; Bani, Nurul Aini; Muhtazaruddin, Mohd Nabil (IEEE, 2017-05-09)
    MAS'UD, A.A., MUHAMMAD-SUKKI, F., ALBARRACIN, R., ARDILA-REY, J.A., ABU-BAKAR, S.H., AZIZ, N.F.A., BANI, N.A. and MUHTAZARUDDIN, M.N. 2017. Comparison of artificial neural network and multiple regression for partial discharge sources recognition. Presented at the 9th IEEE-GCC conference and exhibition 2017: solutions for a smarter economy, 9-11 May 2017, Bahrain, Saudi Arabia.
    This paper compares the capabilities of the artificial neural network (ANN) and multiple linear regression (MLR) for recognizing and discriminating partial discharge (PD) defects. Statistical fingerprints obtained from a ...
  • A comparison of inductive sensors in the characterization of partial discharges and electrical noise using the chromatic technique. 

    Ardila-Rey, Jorge Alfredo; Montaña, Johny; Albuquerque de Castro, Bruno; Schurch, Roger; Ulson, José Alfredo Covolan; Muhammad-Sukki, Firdaus; Bani, Nurul Aini (MDPI https://doi.org/10.3390/s18041021, 2018-03-29)
    ARDILA-REY, J.A., MONTANA, J., ALBUQUERQUE DE CASTRO, B., SCHURCH, R., ULSON, J.A.C., MUHAMMAD-SUKKI, F. and BANI, N.A. 2018. A comparison of inductive sensors in the characterization of partial discharges and electrical noise using the chromatic technique. Sensors [online], 18(4), article ID 1021. Available from: https://doi.org/10.3390/s18041021
    Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets ...
  • Comparison of the performance of artificial neural networks and fuzzy logic for recognizing different partial discharge sources. 

    Mas'ud, Abdullahi Abubakar; Ardila-Rey, Jorge Alfredo; Albarracin, Ricardo; Muhammad-Sukki, Firdaus; Bani, Nurul Aini (MDPI https://doi.org/10.3390/en10071060, 2017-01-16)
    MAS'UD, A.A., ARDILA-REY, J.A., ALBARRACIN, R., MUHAMMAD-SUKKI, F. and BANI, N.A. 2017. Comparison of the performance of artificial neural networks and fuzzy logic for recognizing different partial discharge sources. Energies [online], 10(7), article number 1060. Available from: https://doi.org/10.3390/en10071060
    This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault classes. The training and testing parameters ...
  • An ensemble-boosting algorithm for classifying partial discharge defects in electrical assets. 

    Mas'ud, Abdullahi Abubakar; Ardila-Rey, Jorge Alfredo; Albarracin, Ricardo; Muhammad-Sukki, Firdaus (MCPI https://doi.org/10.3390/machines5030018, 2017-08-08)
    MAS'UD, A.A., ARDILA-REY, J.A., ALBARACIN, R. and MUHAMMAD-SUKKI, F. 2017. An ensemble-boosting algorithm for classifying partial discharge defects in electrical assets. Machines [online], 5(3), article ID 18. Available from: https://doi.org/10.3390/machines5030018
    This paper presents an ensemble-boosting algorithm (EBA) for classifying partial discharge (PD) patterns in the condition monitoring of insulation diagnosis applied for electrical assets. This approach presents an optimization ...
  • Nuclear energy development in Bangladesh: a study of opportunities and challenges. 

    Karim, Ridoan; Karim, Md Ershadul; Muhammad-Sukki, Firdaus; Abu-Bakar, Siti Hawa; Bani, Nurul Aini; Munir, Abu Bakar; Kabir, Ahmed Imran; Ardila-Rey, Jorge Alfredo; Mas’ud, Abdullahi Abubakar (MDPI https://doi.org/10.3390/en11071672, 2018-06-27)
    KARIM, R., KARIM, M.E., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H., BANI, N.A., MUNIR, A.B., KABIR, A.I., ARDILA-REY, J.A. and MAS'UD, A.A. 2018. Nuclear energy development in Bangladesh: a study of opportunities and challenges. Energies [online], 11(7), article 1672. Available from: https://doi.org/10.3390/en11071672
    It is a challenging task for Bangladesh to meet its increasing demand of energy while its economy is rapidly growing. Though prices of oil, coal, and fossil fuels around the world have been volatile, the price trend in ...
  • Polymeric materials for conversion of electromagnetic waves from the sun to electric power. 

    Haque, S.K. Manirul; Ardila-Rey, Jorge Alfredo; Umar, Yunusa; Rahman, Habibur; Mas'ud, Abdullahi Abubakar; Muhammad-Sukki, Firdaus; Albarracin, Ricardo (MDPI https://doi.org/10.3390/polym10030307, 2018-03-12)
    HAQUE, S.K.M., ARDILA-REY, J.A., UMAR, Y., RAHMAN, H., MAS'UD, A.A., MUHAMMAD-SUKKI, F. and ALBARRACIN, R. 2018. Polymeric materials for conversion of electromagnetic waves from the sun to electric power. Polymers [online], 10(3), article 307. Available from: https://doi.org/10.3390/polym10030307
    Solar photoelectric energy converted into electricity requires large surface areas with incident light and flexible materials to capture these light emissions. Currently, sunlight rays are converted to electrical energy ...
  • Software simulation and experimental characterisation of a rotationally asymmetrical concentrator under direct and diffuse solar radiation. 

    Freier, Daria; Muhammad-Sukki, Firdaus; Abu-Bakar, Siti Hawa; Ramirez-Iniguez, Roberto; Mas'ud, Abdullahi Abubakar; Albarracin, Ricardo; Ardila-Rey, Jorge Alfredo; Munir, Abu Bakar; Yasin, Siti Hajar Mohd; Bani, Nurul Aini (Elsevier http://dx.doi.org/10.1016/j.enconman.2016.05.072, 2016-06-01)
    FREIER, D., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H., RAMIREZ-INIGUEZ, R., ABUBAKAR MAS’UD, A., ALBARRACIN, R., ARDILA-REY, J.A., MUNIR, A.B., YASIN, S.H.M. and BANI, N.A. 2016. Software simulation and experimental characterisation of a rotationally asymmetrical concentrator under direct and diffuse solar radiation. Energy conversion and management [online], 122, pages 223-238. Available from: http://dx.doi.org/10.1016/j.enconman.2016.05.072
    Making housing carbon neutral is one of the European Union (EU) targets with the aim to reduce energy consumption and to increase on-site renewable energy generation in the domestic sector. Optical concentrators have a ...
  • Wind power potentials in Cameroon and Nigeria: lessons from South Africa. 

    Mas'ud, Abdullahi Abubakar; Wirba, Asan Vernyuy; Ardila-Rey, Jorge Alfredo; Albarracin, Ricardo; Muhammad-Sukki, Firdaus; Duque, Alvaro Jaramillo; Bani, Nurul Aini; Munir, Abu Bakar (MDPI https://doi.org/1996-1073/10/4/443, 2017-03-27)
    MAS'UD, A.A., WIRBA, A.V., ARDILA-REY, J.A., ALBARRACIN, R., MUHAMMAD-SUKKI, F., DUQUE, A.J., BANI, N.A. and MUNIR, A.B. 2017. Wind power potentials in Cameroon and Nigeria: lessons from South Africa. Energies [online], 10(4), article ID 443. Available from: https://doi.org/1996-1073/10/4/443.
    Wind energy has seen a tremendous growth for electricity generation worldwide and reached 456 GW by the end of June 2016. According to the World Wind Energy Association, global wind power will reach 500 GW by the end of ...