Muhammad Zaid Aihsan
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Preferred name
Muhammad Zaid Aihsan
Official Name
Muhammad Zaid, Aihsan
Alternative Name
Aihsan, M. Z.
Aihsan, Muhammad Zaid
Aikhsan, M. Z.
Aihsan, M. Z.
Main Affiliation
Scopus Author ID
56479160600
Researcher ID
AAB-4469-2021

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  • Publication
    Selective harmonic elimination pulse width modulation for five-phase cascaded multilevel inverter using non-notch and notch switching technique
    ( 2020-01-01)
    Walter M.S.M.A.
    ;
    Baharuddin Ismail
    ;
    Muhammad Zaid Aihsan
    ;
    Siti Khodijah Mazalan
    ;
    Bimazlim M.A.S.
    ;
    Muzamir Isa
    ;
    Mohamad Nur Khairul Hafizi Rohani
    ;
    Sengodan T.
    As in this era, the conversion of DC power to AC power is a necessity in the power system in order to make useful of renewable energy. The most commonly used switching mechanism is known as inverter or multilevel inverter. However, this switching may cause harmonics. Harmonics usually occur in a power system due to distortion, which can cause a lot of unwanted problems. It could appear either in voltage or in current waveforms. Minimization of Total Harmonic Distortion (THD) is necessary in order to maintain a good power system. This paper introduces selective harmonic elimination pulse width modulation for five-phase cascaded multilevel inverter. The proposed switching technique for five-phase cascaded multilevel inverter used in this research is non-notch and notch switching technique. Particle Swarm Optimization (PSO) algorithm was used as an optimization technique to find switching angles for non-notch and notch switching techniques. In addition, the simulation of a seven-level five-phase cascaded multilevel inverter for both switching operations is carried out in the PSIM environment. The results show that the non-notch switching was able to eliminate lower order harmonics up to the 7th harmonic. In addition, the notch switching technique managed to eliminate lower order harmonics up to the 21st harmonic for 3/3/3 switching distribution.
  • Publication
    Characterization of Photovoltaic Module Under Random Partial Shading Conditions
    ( 2022-01-01)
    Rahman N.A.
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Nurhakimah Mohd Mukhtar
    ;
    Muhammad Zaid Aihsan
    Photovoltaic (PV) systems have been gaining the pace in energy market for the past decade. Reducing capital costs and government incentives are among other factors that drive the PV forward. PV massively depends on the sunlight that falls onto its surface to generate electricity. However, partial shading events are a common nemesis to the PV systems. It happened when some part of the PV panel's surface did not receive the maximum light energy. It can be caused by passing clouds, nearby trees or poles, leaves, bird dropping, etc. The harvested power drops during this event, hence the overall system's efficiency is also affected. This paper investigates the characteristic of the single panel system during various partial shading conditions. The identification of the maximum power point (MPP) location and the intensity of the event to occur at the region on the P-V plane is given priority in this study. All in all, this study aims to provide useful information for considerations in the process of designing the converters.
  • Publication
    IR 4.0: Smart Farming Monitoring System
    ( 2023-01-01)
    Nasir M.F.
    ;
    Mohd Aminudin Jamlos
    ;
    Wan Azani Wan Mustafa
    ;
    Mohamad Nur Khairul Hafizi Rohani
    ;
    Muhammad Zaid Aihsan
    ;
    Habelalmateen M.I.
    ;
    Ramadan G.M.
    The Internet of Things is the current and future of every field that effects everyone's life by making everything smart. The development of Smart Farming Monitoring with the use of the Internet of Things, changes conventional farming methods by not only making them optimal but also effective for farmers and reducing crop wastage. Therefore, Smart Farm Monitoring of IR 4.0 Implementation is designed to provide a system for monitoring environmental factors in farming in real time. This product will help farmers by creating an easy-to-use user view so users can view data. By implementing various types of sensors and applications such as Raspberry Pi 4B as its main controller, Temperature & Humidity sensor (DHT22), Capacitive Soil Moisture sensor, MQ135 sensor, Light Intensity sensor, ThingSpeak and ThingView, farmers will can monitor parameters and this data will be sent to the database for real-time display and storage purposes. The project is expected to create a smart environment conducive to agriculture and reduce labour costs and water wastage and increase productivity and efficiency. The system is achieved, as the intelligent monitoring of agriculture allows real-time monitoring with less time.
  • Publication
    Solar Powered Multiple Output Buck Converter
    ( 2020-12-18)
    Muhammad Zaid Aihsan
    ;
    Norhanisa Kimpol
    ;
    Liew Hui Fang
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Wan Azani Wan Mustafa
    ;
    Junaidah Ali Mohd Jobran
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Times have certainly changed over the past few decades, now it seems that technology is getting more compact and efficient. The modern outdoor enthusiast such as hikers, climbers has a problem regarding the lack of power supply to power up electronics when they go for adventure activities. In order to solve this problem, this paper design and develop DC/DC buck converter system to drop down the voltage from the solar photovoltaic (PV) system from 12VDC into 5VDC. This paper is first to start up with design and simulation circuit using simulation to test outcome of this paper in the range of 5VDC & 1.0A and 5VDC & 0.5A. A battery storage is needed to feed electricity independent and battery management of the battery is needed to improve the performance of battery life. This can be done by adding a charge controller unit. The outcome of this paper allows the battery to be charged using the solar panel and at the same time can produce multiple outputs for low voltages used. The software simulation has been done to shows this system produces two different output and the hardware will be developed based on the software results. Software and hardware result, both will be compared and analysed.
  • Publication
    Malaria Parasite Diagnosis Using Computational Techniques: A Comprehensive Review
    ( 2021-12-01)
    Wan Azani Wan Mustafa
    ;
    Hiam Alquran
    ;
    Muhammad Zaid Aihsan
    ;
    Mohd Saifizi Saidon
    ;
    Wan Khairunizam Wan Ahmad
    ;
    Aimi Salihah Abdul Nasir
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Midhat Nabil Ahmad Salimi
    ;
    Mohd Wafi Nasrudin
    Malaria is a very serious disease that caused by the transmitted of parasites through the bites of infected Anopheles mosquito. Malaria death cases can be reduced and prevented through early diagnosis and prompt treatment. A fast and easy-to-use method, with high performance is required to differentiate malaria from non-malarial fevers. Manual examination of blood smears is currently the gold standard, but it is time-consuming, labour-intensive, requires skilled microscopists and the sensitivity of the method depends heavily on the skills of the microscopist. Currently, microscopy-based diagnosis remains the most widely used approach for malaria diagnosis. The development of automated malaria detection techniques is still a field of interest. Automated detection is faster and high accuracy compared to the traditional technique using microscopy. This paper presents an exhaustive review of these studies and suggests a direction for future developments of the malaria detection techniques. This paper analysis of three popular computational approaches which is k-mean clustering, neural network, and morphological approach was presented. Based on overall performance, many research proposed based on the morphological approach in order to detect malaria.
      2
  • Publication
    Performance Evaluation of Transformerless Inverter based Quadratic Boost Converter
    ( 2021-01-01)
    Muhammad Zaid Aihsan
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Liew Hui Fang
    ;
    Wan Azani Wan Mustafa
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Al-Abbooda K.S.
    This paper presents a single-phase transformerless inverter based high step-up quadratic boost converter (QBC). By removing the conventional isolation transformer in the single-phase inverter system is grants higher efficiency and reduction in size as well as cost-effectiveness. The proposed topology can generate a standard single-phase power rating of 230 Vrms from a small dc voltage. The capability of the quadratic boost converter to perform a single-stage boost operation is guaranteed before inverted to the alternating sequence of Ac voltages as the constant duty cycle and proper unipolar modulation technique are well implemented. Experimental results are presented to verify the proposed topology capability.
      1
  • Publication
    Selective Harmonic Elimination of Five Level Cascaded H-Bridge Inverter Using the Newton-Raphson Technique
    ( 2021-07-26)
    Mohd Saifizi Saidon
    ;
    Kasdi N.S.
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mashagba H.A.
    ;
    Wan Azani Wan Mustafa
    ;
    Muhammad Zaid Aihsan
    ;
    Sulong Syahmi M.M.
    Multilevel inverter becomes an alternative for high power and medium voltage applications recently and is more popular in renewable energy. The cascaded H-bridge multilevel inverter is more suitable for the Photovoltaic application because it acts as a separate DC source for each bridge. This paper presents a selective harmonic elimination (SHE) modulation for single-phase cascaded H-bridge (CHB) five level inverter. The optimum angle of the transcendental equations is solved the fundamental and harmonic elements using the Newton-Raphson (NR) process. The proposed selective harmonic elimination (SHE) scheme is tested using MATLAB/Simulink simulation. These simulation results are then verified through experiment using microcontroller. The proposed SHE is efficient in eliminating the 5th order harmonics and producing a higher quality output waveform with a better harmonic profile.
      1
  • Publication
    Experimental study of Bipolar PV Inverter for nonlinear load
    ( 2021-07-26)
    Muhammad Zaid Aihsan
    ;
    Fahmi M.I.
    ;
    Liew Hui Fang
    ;
    Wan Azani Wan Mustafa
    ;
    Mohamad Nur Khairul Hafizi Rohani
    ;
    Mohd Aminudin Jamlos
    One of the attractive options for converting solar PV DC/AC modules is a bipolar inverter as bipolar technique provide easy control and theoretically low-priced technology. A few drawbacks to this bipolar method, since it has a high voltage DC-link ripple, which can cause high harmonic inverter distortion. A smooth DC voltage is then needed to preserve the unstable voltage of the PV device in such a way that the overall harmonic distortion of the inverter is preserved at the regular stage. This paper will demonstrate the impact of unstable voltage from PV and connecting to the nonlinear load. The performance of the converter in term of efficiency and THD performance are monitored and reported.
  • Publication
    Multiple Partial Discharge Signal Classification Using Artificial Neural Network Technique in XLPE Power Cable
    ( 2023-02-01)
    Halim M.I.A.
    ;
    Razaly N.Z.M.
    ;
    Mohamad Nur Khairul Hafizi Rohani
    ;
    Norfadilah Rosle
    ;
    Auni W.N.
    ;
    Afifah Shuhada Rosmi
    ;
    Muhammad Zaid Aihsan
    ;
    Mohd Aminudin Jamlos
    ;
    Mas’ud A.A.
    According to partial discharge (PD) damage in the electrodes that are not entirely bridging, the presence of PD in the high voltage (HV) power cable might lead to insulation failure. PD defects can damage cross-linked polyethylene (XLPE) cables directly, which is one of the most critical electrical issues in the industry. Poor workmanship during cable jointing, aging, or exposure to the surrounding environment is the most common cause of PD in HV cable systems. As a result, the location of the PD signals that occur cannot be classified without identifying the multiple PD signals present in the cable system. In this study, the artificial neural network (ANN) based feedforward back propagation classification technique is used as a diagnostic tool thru MATLAB software in which the PD signal was approached to determine the accuracy of the location PD signal. In addition, statistical feature extraction was added to compare the accuracy of classification with the standard method. The three-point technique is also an approach used to locate PD signals in a single line 11 kV XLPE underground power cable. The results show that the statistical feature extraction had been successful classify the PD signal location with the accuracy of 80% compared to without statistical feature extraction. The distance between PD signals and the PD source affected the result of the three-point technique which proved that a lower error means a near distance between them.
  • Publication
    Performance Analysis of Unipolar SPWM Inverter: Resistive load and Inductive load
    ( 2020-12-18)
    Muhammad Zaid Aihsan
    ;
    Yusof A.M.
    ;
    Ahmad N.I.
    ;
    Mohd Saifizi Saidon
    ;
    Habibah Mokhtaruddin
    ;
    Rahman D.H.A.
    ;
    Wan Azani Wan Mustafa
    This paper presents the performance analysis of the Unipolar SPWM Inverter for the resistive and inductive load testing. The common criteria reported in various technical papers where the resistive load will produce a unity power factor correction and lagging power factor behaviour for inductive load. This paper is to demonstrate the performance of both loads that are tested to the single phase Unipolar SPWM inverter under the modulation ratio of 0.8. The performances will be covered in term of the waveform behavior and THDv performance. The project are carried out through the simulation using PSIM software and real implementation to the real hardware. The selection of filter for this paper is the low pass passive LC filter.