Syahrun Nizam Md Arshad @ Hashim
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Syahrun Nizam Md Arshad @ Hashim
Official Name
Syahrun Nizam, Md Arshad @ Hashim
Alternative Name
Arshad, S. N.M.
Arshad, Syahrun Nizam Bin M.
Nizam Md Arshad, Syahrun
Md Arshad, Syahrun Nizam
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Scopus Author ID
56177750400

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  • Publication
    Study of soil resistivity using wenner four pin method: Case study
    ( 2020-12-07)
    Sazali M.S.
    ;
    Wooi Chin Leong
    ;
    Wong T.S.
    ;
    Syahrun Nizam Md Arshad @ Hashim
    ;
    Abdul-Malek Z.
    ;
    Nabipour-Afrouzi H.
    Soil resistivity is usually measured at the selected site either for new installation or in the existing grounding system. In this paper, soil resistivity test has been done to study the soil resistivity around the 33 kV substation according to IEEE 81-1983 standard. A factory site located in Kulim Hi-tech, Malaysia has been selected to research on the soil resistivity. The soil resistance measured in this study is then be calculated in using the soil resistivity formula. The soil resistivity shows that the longer the distance between rods, the lower the resistivity of soil due to larger soil volume. The lowest soil resistivity around the substation is 3.454 Ω.m, which is on the left side of the substation with a distance of 5 meters between the rods followed by front side with 15.71 Ω.m, right side with 34.243 Ω.m and backside with 45.239 Ω.m. While the highest soil resistivity is 176.306 Ω.m on the right side of the substation with a 2-meter distance between each rod.
      7  19
  • Publication
    A new approach for estimating insulation condition of field transformers using FRA
    ( 2020-02-01)
    Yousof M.F.M.
    ;
    Al-Ameri S.
    ;
    Ahmad H.
    ;
    Illias H.A.
    ;
    Syahrun Nizam Md Arshad @ Hashim
    Frequency response analysis (FRA) is a tool for evaluating mechanical integrity of transformer's core and winding. However, several studies have reported that FRA is also sensitive to other parameters such as temperature, moisture content and presence of oil. Since some of these parameters are critical in the insulation degradation process, it is interesting to further investigate the possibility of using FRA for insulation assessment. In this paper, the insulation conditions of three field transformers are investigated using FRA. This is performed after statistical analysis on the response suggested no mechanical damage on the transformers. The responses are further analyzed to determine the percentage of change of winding capacitance. This is achieved by comparing resonance frequencies between the responses. The percentage of change represents the amount of degradation in the insulation. This is because as the insulation condition degrades, the response is shifted towards lower frequencies. This new investigation demonstrates the applicability of FRA to estimate the insulation degradation.
      2  27