Transient identification for nuclear power plants: Effect of the length of measured data to identification result

作者: Shuqiao Zhou , Chao Guo , Xiaojin Huang

DOI: 10.1109/ASCC.2017.8287392

关键词:

摘要: The measured data are the basis for all data-driven processing methods. Determining length of used to prepare a set subsequent is very important. critical, especially transient identification nuclear power plants, because it potentially determines both delay and rate. transients must be identified in time (i.e., make as short possible) correctly rate high during plant operation enhance safety achieve more economic benefits. Thus, this study investigates effect result proposes an algorithm obtain optimal length. proposed was verified effective determining length, which resulted shortest highest investigation results showed trend/law signal-to-noise Verifications were performed using our previously method based on linear representation from simulator Chinese High Temperature Gascooled Reactor Pebble-bed Module project.

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