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Title: Statistically-Defined-Parameter Modeling Of Back-Pressure Sensor System
Author: Vladimir B. Bokov
Source: 2003 Measurement Science Conference
Year Published: 2003
Abstract: A novel method has been fashioned for development of statistically-defined-parameter model of back-pressure sensor system. This method combines the traditional approach in elaboration of lumped parameter model and, for attainment its optimum precision, employs the statistical modeling of conjectured variable lumped parameters. Basic concepts and theoretical analysis of the lumped-parameter modeling and the statistical modeling of the variable lumped parameters are described. This combined modeling method was employed for modeling of the novel type of air gauging system with elongated nozzle structure. From model analysis it was found that the statistically-defined-parameter modeling method permits to attain the minimum discrepancy in comparison with experimental evidence.

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