Norfadilah Rosle
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Preferred name
Norfadilah Rosle
Official Name
Norfadilah, Rosle
Alternative Name
Rosle, N.
Rosle, N. F.
Rosle, Norfadilah
Main Affiliation
Scopus Author ID
57208407506
Researcher ID
DRD-5901-2022

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  • Publication
    Fault detection and classification in three phase series compensated transmission line using ANN
    (IOP Publishing, 2020)
    Norfadilah Rosle
    ;
    Noor Fazliana Fadzail
    ;
    M I A Halim
    ;
    Mohamad Nur Khairul Hafizi Rohani
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Leow Wai Zhe
    ;
    Nur Najihah Abu Bakar
    Series compensation consists of capacitors in series is used in the transmission lines as a tool to improve the performance after disturbed by a fault. Transmission line needs a protection scheme to protect the lines from faults due to natural disturbances, short circuit and open circuit faults. The fault can happen in any location of transmission line and it is important to know which location has been affected. So that, the fault can be eliminated and can maintain the optimum performance. Therefore, in this paper Artificial Neural Network (ANN) is used to detect and classified the fault happen in single line to ground fault and three phase to ground fault. Two different tests of each types of fault have been tested in order to prove the effectiveness of ANN to detect the fault location by using different length and fault resistance. The simulation has been accomplished in MATLAB with ANN fitting tool which build and train the network before evaluated its performance using regression analysis. The analysis shows that the ANN can accurately detect the different types of faults and classified it into the respective category even the random vectors are put on the system are used.
      10  1
  • Publication
    Simulation study on photovoltaic panel temperature under different solar radiation using computational fluid dynamic method
    ( 2020-01-07)
    Leow W.Z.
    ;
    Mohd Irwan Yusoff
    ;
    Safwati Ibrahim
    ;
    Muhammad Irwanto Misrun
    ;
    Amelia A.R.
    ;
    Syafiqah Z.
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Norfadilah Rosle
    The electrical production is the primary performance of any solar photovoltaic (PV) system. The PV panel operating temperature is inversely proportional to the electrical production of the PV panel. The operating temperature of PV panel is influenced by solar radiation absorbed and the ambient temperature. In the present work, Computational Fluid Dynamics (CFD) method is used to investigate a three-dimensional (3-D) model of a PV panel. It is also essential to estimate the thermal behaviour of the PV panel under various environmental conditions. The primary purpose of this current work is to analyse temperature distribution from the PV panel under given operating conditions. The model geometry is built by using CATIA design software. ANSYS software was simulated the different intensity of solar radiation that applied to the PV panel in order to observe the temperature distribution on each layers of the PV panel. The ambient temperature of the simulation is fixed 35C according to the maximum ambient temperature captured in Malaysia. The simulation results show that an increase in solar radiation intensity along with the PV panel operating temperature increase.
      2  34