A Chi-Square Distribution Based Steady-State Data Judgment Criterion

Abstract:

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The acquisition of steady-state data is the premise for optimizing the boiler combustion parameters. Assuming the measuring parameters obey the Gaussion distribution, this paper uses the large-probability distribution interval to approximate the variation range of random variable, constructs appropriate working condition matrix whose column quadratic sum approximately obeys the Chi-square distribution, and then obtains the Chi-square distribution based steady-state data judgment criterion. The judgment threshold of this criterion could be self-adaptive. This judgment criterion has been validated by an experiment.

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Periodical:

Edited by:

Linli Xu, Wenya Tian and Elwin Mao

Pages:

724-729

DOI:

10.4028/www.scientific.net/AMM.80-81.724

Citation:

J. Su and X. G. Wang, "A Chi-Square Distribution Based Steady-State Data Judgment Criterion", Applied Mechanics and Materials, Vols. 80-81, pp. 724-729, 2011

Online since:

July 2011

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$35.00

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