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Muzammil Jusoh
Preferred name
Muzammil Jusoh
Official Name
Muzammil, Jusoh
Alternative Name
Jusoh, M.
Jusoh, Muzammil
Jusoh, Muzammi
Jusoh, Muzammir
Main Affiliation
Scopus Author ID
24483755700
Researcher ID
Z-1156-2019
Now showing
1 - 4 of 4
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PublicationDetection method of partial discharge on transformer and gas-insulated switchgear: a review(MDPI, 2023)
;Zulbirri Faizol ;Farid Zubir ;Norhafezaidi Mat Saman ;Mohd Hafizi Ahmad ;Mohamad Kamal A. Rahim ;Osman Ayop ;Huda Ahmad MajidZubaida YusoffThe detection of partial discharge (PD) activities in high-voltage equipment can be conducted according to several mechanisms of signal detection, including electromagnetic wave signal detection, acoustic signal detection, chemical reactions, electrical signal detection, and optical emission detection. Recently, multiple methods of detection and localization of partial discharge activities, which occurred in power transformers and gas-insulated switchgear (GIS), have been proposed to monitor the health condition of high-voltage equipment, especially when the awareness regarding preventive maintenance has been emphasized at the industrial level and among electrical providers. In aligning the needs of the industrial sector and the improvement of PD-detection methods, this manuscript focuses on reviewing the current practice methods for the detection and localization of PD signals in high-voltage equipment, comparing their efficacy, and summarizing the future direction of research work-related methods of PD detection. The comparative reviews are discussed in terms of the mechanism of PD signal detection, indication parameters, calibration techniques, and the advantages and limitations of each method of PD measurement in detail. © 2023 by the authors. -
PublicationA Fuzzy-Based Angle-of-Arrival Estimation System (AES) using Radiation Pattern Reconfigurable (RPR) antenna and modified gaussian membership function( 2019)
;R. Badlishah, Ahmad ;Mohd Haizal Jamaluddin ;Muhammad Ramlee Kamarudin ;L. Murukesan LoganathanSoh Ping JackAngle-of-arrival (AOA) estimation is an important factor in various wireless sensing applications, especially localization systems. This paper proposes a new type of AOA estimation sensor node, known as AOA-estimation system (AES) where the received signal strength indication (RSSI) from multiple radiation pattern reconfigurable (RPR) antennas are used to calculate the AOA. In the proposed framework, three sets of RPR antennas have been used to provide a coverage of 15 regions of radiation patterns at different angles. The salient feature of this RPR-based AOA estimation is the use of Fuzzy Inferences System (FIS) to further enhance the number of estimation points. The introduction of a modified FIS membership function (MF) based on Gaussian function resulted in an improved 85% FIS aggregation percentage between the fuzzy input and output. This later resulted in a low AOA error (of less than 5%) and root-mean- square error (of less than 8â—¦ ).1 11 -
PublicationA Flexible and Compact Metamaterial UHF RID Tag for Remote Sensing in Human Health( 2020-08-01)
;Ainur Fasihah Mohd Fazilah ;Abbasi, Qammer Hussain ;Kabir Hossain ;Muhammad Ramlee Kamarudin ;Majid, Huda AhmadSoh Ping JackThis paper presents a miniaturized UHF RFID tag antenna with increased gain using meander line techniques and metamaterial (MTM). The designed tag operates in the UHF RFID frequency band ranging from 860 to 960 MHz. It comprises of meandered lines with two hexagonal split ring resonators (H-SRRs) MTM cells. It is designed on a photo paper as its substrate which is 0.27 mm thick, with a dielectric constant of 3.2 and loss tangent of 0.05. Next, an RFID tag (NXP SL381213 UCODE G2iL chip) with an impedance of 23-j224 \Omega is integrated with the proposed antenna to assess its performance in terms of reflection coefficient, antenna gain and maximum reading range. The overall size of the tag is 92 mm x26 mm.6 2 -
PublicationRadiation pattern reconfigurable MIMO Antenna with practical DC bias network( 2022-01-01)
;Jaya Bharath A/L Gopalakrishnan ;Thennarasan A/L Sabapathy ;Muhammad Ramlee KamarudinSoh Ping JackThis paper presents a radiation pattern reconfigurable (RPR) based multiple-input multiple-output (MIMO) antenna. The proposed antenna operates at 3.5 GHz for all switching conditions with S21 results of less than -20 dB. This work specifically focuses on implementing a practical DC bias network for the previously proposed RPR-MIMO antenna. The DC bias design is crucial where the tilt angle is slightly affected. This could be due to the isolation loss and insertion loss provided by the actual switch; and the DC bias lines that were constructed using a few DC blocking capacitors and RF chokes. Finally, a comprehensive analysis was carried out to examine the beam steering performance of the antenna when implemented with the DC bias network.1 26