DOUBLE APPROACH MODELING OF TP-  TABLE IN MASS FLOW-METER OF SUPERHEATED STEAM - COMBINED APPLICATION OF ARTIFICIAL NEURAL NETWORK AND SYSTEM IDENTIFICATION

Han Jian-guo, Sun Yan-zuo

Abstract

In this paper a method based on combining Artificial Neural Network (ANN) training technique and Non-linear Least-square Linear in StructureSystem Identification technique for Double Approach Modeling the TP-Table in Mass Flow-meter is introduced. The model has several advantages such as saving calculation workload and storage space, having essential filterability of ANN Statistical Model. Thus the method provides a reliable way for realizing the current development for high- degree integration of measuring and instrumentation technology.

Keywords

artificial neural network, non-linear system identification, mass flow measurement

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IMEKO-TC9-2000-090.pdf

DOI

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IMEKO TC

TC9 - Flow Measurement

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