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Nasrudin Abd Rahim

Researcher at University of Malaya

Publications -  574
Citations -  25931

Nasrudin Abd Rahim is an academic researcher from University of Malaya. The author has contributed to research in topics: Photovoltaic system & Inverter. The author has an hindex of 79, co-authored 536 publications receiving 19822 citations. Previous affiliations of Nasrudin Abd Rahim include Universiti Malaysia Perlis & King Abdulaziz University.

Papers
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Journal ArticleDOI

Investigation on wind energy for grid connection in Bangladesh: Case study

TL;DR: In this article, a feasibility study of the wind energy in Chittagong has been done by analyzing the wind speed data and it is estimated that the maximum practical power output generated can be 124.53 MW at Parky beach.
Book ChapterDOI

Design and Implementation of a Photovoltaic Emulator Using an Insulated Full Bridge Converter Based Switch Mode Power Supply

TL;DR: This paper proposes an isolated switch mode power supply based on a full bridge converter that allows to faithfully reproduce the characteristic of a panel, module or any photovoltaic field by taking into consideration the variation of the radiance, temperature and load.
Proceedings ArticleDOI

Hardware implementation of fuzzy-PI-sliding mode speed controller of induction motors

TL;DR: An integrated PI controller for improved steady state performance and a sliding mode controller for high transient performance are proposed and a fuzzy logic controller is implemented to switch between them.
Proceedings ArticleDOI

A new three-phase inverter power-factor correction (PFC) scheme using field programmable gate array

TL;DR: A new three-phase Inverter power-factor correction PFC scheme is proposed using field programmable gate array (FPGA) technology all the functions can be implemented in a single chip.
Proceedings ArticleDOI

A Review of Data Structure and Filtering in Handling 3D Big Point Cloud Data for Building Preservation

TL;DR: This paper will review developed methods in handling 3D point cloud data, concentrating on two specific processes, which are data structure and data filtering, and results will be studied to explain the effectiveness of the methods used in handling big point data.