Title :
Application research on multi-target tracking technology for digital nuclear power plant
Author :
Guo, Qing ; Xia, Hong
Author_Institution :
Coll. of Nucl. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
This paper introduces multi-target tracking technology used in engineering application for nuclear power plant, studies model structure of multi-target tracking system for digital nuclear power plant, puts forward the realization of neural network based on the thought of data association for multi-target tracking system. To select different targets from instrument control system for nuclear power plant, and simulate calculation, it verifies the tracking algorithm has good accuracy, it provides a new technical support for nuclear energy safety.
Keywords :
neural nets; nuclear power stations; sensor fusion; target tracking; data association; digital nuclear power plant; instrument control system; multitarget tracking technology; neural network; nuclear energy safety; Control systems; Correlation; Educational institutions; Radar tracking; Target tracking; Temperature measurement; NPP; data fusion; multi-target tracking; neural network;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6058411