DOUBLE APPROACH MODELING OF TP- TABLE IN MASS FLOW-METER OF SUPERHEATED STEAM - COMBINED APPLICATION OF ARTIFICIAL NEURAL NETWORK AND SYSTEM IDENTIFICATION |
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| 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 Structure System 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
- Download:
- IMEKO-TC9-2000-090.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC9
- Event name:
- FLOMEKO 2000
- Title:
- 10th Conference on Flow Measurement
- Place:
- Salvador, Bahia, BRAZIL
- Time:
- 04 June 2000 - 08 June 2000