Ernie Che Mid
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Preferred name
Ernie Che Mid
Official Name
Ernie, Che Mid
Alternative Name
Che Mid, Ernie Binti
Che Mid, Ernie
Mid, E. C.
Scopus Author ID
25655179600
Researcher ID
V-7047-2019

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  • Publication
    Fault Detection Analysis for Three Phase Induction Motor Drive System using Neural Network
    ( 2021-06-11)
    Mohar N.A.
    ;
    Ernie Che Mid
    ;
    Surina Mat Suboh
    ;
    Nor Hanisah Baharudin
    ;
    Ahamad N.B.
    ;
    Rahman N.A.
    ;
    Ruslan E.
    ;
    Hadi D.A.
    One of the most important components of the industrial process is known to be the three-phase induction motor. This device, however, is prone to electrical and mechanical faults, which may cause a substantial component or financial losses. The fault analysis received growing attention due to a need to increase reliability and to decrease potential output loss due to machine breakdown. Thus, the purpose of this paper is to present a simple and reliable fault analysis based on the Neural Network (NN) is proposed. The NN method is a simpler approach without a diagnostic professional to review data and diagnose issues. Various fault disputes of induction motor are developed and analysed using the NN method. The main types of faults considered are over-voltage, under-voltage, and unbalanced voltage faults. The trained network is tested with simulated fault current and voltage data.
  • Publication
    Explicit Solution of Parameter Estimate using Multiparametric Programming for Boost Converter
    ( 2023-01-01)
    Ernie Che Mid
    ;
    Nurhakimah Mohd Mukhtar
    ;
    Syed Yunus S.H.
    ;
    Hadi D.A.
    ;
    Ruslan E.
    This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. In this method, the generalised mathematical model of the boost converter is discretised into an algebraic equation. The parameter estimation problem is then formulated and solved using Karush-Kuhn-Tucker. Finally, an explicit solution of estimate parameters such as capacitor and inductor is formulated as an explicit function of the inductor currents and capacitor voltage. Finally, the state variables of the boost converter are numerically obtained and used to test the capability of the proposed work. The results presented in this work prove the MPP algorithm can estimate the boost converter's parameters, which can be extended to other power converters and filters.