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     Research Journal of Applied Sciences, Engineering and Technology

    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 
Submitted: 2010 July, 17
Accepted: 2010 September, 01
Published: 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.

Key words:  Damped isolation system, electric field sensitive fluid, digital computer simulation, vibration attenuation, , ,
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Cite this Reference:
E.C. Obinabo and F.I. Anyasi, . A Qualitative Evaluation of Correlated Data from a Noisy Dynamic Process. Research Journal of Applied Sciences, Engineering and Technology, (01): 10-14.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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