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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
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Journal ArticleDOI

An insight into power quality disturbances using wavelet multiresolution analysis

TL;DR: The wavelet transform is beginning to be used widely in power engineering and is especially suitable for feature enhancement of transients and thus makes it possible for power disturbances to be classified.
ReportDOI

Improved Design of Motors for Increased Efficiency in Residential Commercial Buildings

TL;DR: In this article, an engineering-based core loss formula has been developed which considers skin effect and can predict core losses for both sinusoidal and non-sinusoidal flux densities and frequencies up to 4000 Hz.
Journal ArticleDOI

The Loss of Self-Excitation Capability in Stand-Alone Synchronous Reluctance Generators

TL;DR: In this paper, the capability of synchronous reluctance generators to achieve successful self-excitation when operating in stand-alone systems has been analyzed and a hysteresis model is developed to simulate the flux linkage.
Proceedings ArticleDOI

Analytical formulae for calculating SRM modal frequencies for reduced vibration and acoustic noise design

TL;DR: In this paper, the first several modal frequencies of the stator resonant frequency were calculated and the impact of the stack length on the accuracy of the formulae was examined.
Proceedings ArticleDOI

Speed controller design for a vector-controlled permanent magnet synchronous motor drive with parameter variations

TL;DR: In this paper, the Nichols chart is used in conjunction with quantitative feedback theory (QFT) for the design of fixed-structure controllers for parameter-sensitive plants, where the parameter variations are included at the outset of the design task.