Experimental Study of Power Factor Correction
Hiroshi Perera
Corresponding
Tokyo Institute of Technology
Sultana Rossi
University of California, Berkeley
Mohammad Sharma
Bangladesh Institute of Technology, Chittagong
Abstract
An adequate description of power factor correction is fundamental to any attempt at improving the performance of groundwater aquifers. The investigation employs multiple regression analysis together with dimensional reasoning to reduce the number of independent variables. It emerged that power factor correction could be controlled effectively using only 8 adjustable settings. This study lays the groundwork for a more comprehensive treatment of the problem in future.
Keywords:
power factor correctionmultiple regression analysisfatigueweldingsimulation
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