Open AccessA Method of Parsing Based on Improving the Electricity Behavior and Regulating Excitation System of the Diesel Generating Set in the Nuclear Power Plant
Author(s) -
Meng Wang
Publication year - 2017
Publication title -
modern electronic technology
Language(s) - English
Resource type - Journals
eISSN - 2591-7129
pISSN - 2591-7110
DOI - 10.26549/met.v1i1.387
Subject(s) - nuclear power plant , generator (circuit theory) , diesel generator , project commissioning , parsing , set (abstract data type) , computer science , plan (archaeology) , field (mathematics) , benchmark (surveying) , electricity , control engineering , nuclear power , systems engineering , engineering , artificial intelligence , power (physics) , automotive engineering , electrical engineering , diesel fuel , publishing , programming language , mathematics , law , history , ecology , archaeology , biology , geodesy , quantum mechanics , political science , nuclear physics , physics , pure mathematics , geography
This paper introduces an applicable test plan for emergency diesel generator in nuclear power plant. It advances improvement approaches with problems found during field commissioning test and its trouble-shooting processes. The method is based on the integration of complementary through, the extension theory of matter-element model and neural network theory combine to overcome a neural network to learn shelters, and other defects. The purpose of this paper is to provide the better running and commissioning experience for the similar emergency generator unit.