P
Pragasen Pillay
Researcher at Concordia University Wisconsin
Publications - 499
Citations - 13815
Pragasen Pillay is an academic researcher from Concordia University Wisconsin. The author has contributed to research in topics: Induction motor & Stator. The author has an hindex of 50, co-authored 481 publications receiving 12233 citations. Previous affiliations of Pragasen Pillay include New York University & Middle East Technical University.
Papers
More filters
Proceedings ArticleDOI
Effect of saturation on rotational flux distribution in hydro generators
TL;DR: In this paper, the rotational flux distribution in a hydro generator as the core material is saturated is studied and experimental core loss data of non-sinusoidal flux densities in various parts of the machine at no load and full load operation are also presented.
Proceedings ArticleDOI
White LEDS for rural lighting
A.B. Sebitosi,Pragasen Pillay +1 more
TL;DR: In this paper, a white light emitting diode (LED) for general lighting is examined as a solution to African rural electrification problems in the developing world, and comparisons are made with conventional technologies.
Journal ArticleDOI
Back-EMF Analysis of a Variable Flux Machine for Different Magnetization States
TL;DR: The quality of the back-EMF for different speeds and machine no-load losses are presented for different magnetization levels and the minimum inverter current rating is determined for magnetizing current and magnetize current at full load considering the minimum pulse amplitude and width to magnetize the VF-PMSM.
Proceedings ArticleDOI
High speed electromechanical flywheel design for rural electrification in Sub Saharan Africa
TL;DR: In this paper, an electromechanical flywheel energy storage system designed to enhance rural electrification in Sub-Saharan Africa is presented. But the system is limited by the short life span, low power density and low storage efficiency of the battery storage.
Proceedings ArticleDOI
A New Algorithm for the Detection of Inter-Turn Stator Faults in Doubly-Fed Wind Generators
Paul Barendse,Pragasen Pillay +1 more
TL;DR: In this paper, a non-stationary fault detection technique is proposed to detect inter-turn stator faults in doubly-fed wind generators using Extended Park's Vector Approach and a new adaptive algorithm.