Research on Instrumentation Health Status Evaluation MethodBased on Neural Network
Wenrui Jiang, Yiyong Lin, Zhao Lifen, Yi Wang · Journal of Physics Conference Series · 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.