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Abstract
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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:
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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.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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