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    Abstract
2011 (Vol. 3, Issue: 01)
Article Information:

A Qualitative Evaluation of Correlated Data from a Noisy Dynamic Process

E.C. Obinabo and F.I. Anyasi
Corresponding Author:  E.C. Obinabo 

Key words:  Damped isolation system, electric field sensitive fluid, digital computer simulation, vibration attenuation, , ,
Vol. 3 , (01): 10-14
Submitted Accepted Published
2010 July, 17 2010 September, 01 2011 January, 20
Abstract:

This study proposes a prediction scheme for qualitative evaluation of noisy dynamic process variables from a set of correlated data. The process models of a noisy power generating plant to, w hich this study directly applies incorporate a priori knowledge of noise contamination in the measured terminal voltage and load frequency. A conceptual simplicity of parameter by a least squares computational algorithm is evident in the analysis. Convergence of the iteration was enhanced by postulation of a filter to enable the additive noise to be reduced to a white noise sequence which yielded unbiased estimates of the measured data.
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  Cite this Reference:
E.C. Obinabo and F.I. Anyasi, 2011. A Qualitative Evaluation of Correlated Data from a Noisy Dynamic Process.  Research Journal of Applied Sciences, Engineering and Technology, 3(01): 10-14.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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