A Chi-Square Distribution Based Steady-State Data Judgment Criterion
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.
Linli Xu, Wenya Tian and Elwin Mao
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