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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 80-81)
• Pages: 724-729
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.80-81.724
• Online since: July 2011
• Authors: Jie Su, Xu Guang Wang
• Keywords: Chi-Square Distribution, Remarkable Level, Steady-State Data, Working Condition Matrix

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