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Research on Instrumentation Health Status Evaluation MethodBased on Neural Network

Authors :
Wenrui Jiang
Yiyong Lin
Lifen Zhao
Yi Wang
Source :
Journal of Physics: Conference Series. 2366:012042
Publication Year :
2022
Publisher :
IOP Publishing, 2022.

Abstract

Metrology support includes the management of measurement equipment and measurement process, which is an indispensable part of engineering construction. Aiming at the health status of instrumentation in use in enterprises metrological verification, BP and SOFM neural networks are introduced, the characteristics of the two neural networks are introduced, the sample data system and network algorithm are designed, and a set of scientific and complete evaluation methods are produced through algorithm practice and data analysis, which provides direction for the research on the health status of instrumentation in use.

Details

ISSN :
17426596 and 17426588
Volume :
2366
Database :
OpenAIRE
Journal :
Journal of Physics: Conference Series
Accession number :
edsair.doi...........4f077f9bb006fc6391bc65cb1d50f135
Full Text :
https://doi.org/10.1088/1742-6596/2366/1/012042