A Multivariate State Estimation Technique and Multilayer Forward Neural Network Framework on Steam Turbine Valve Flow Curve Simulation

Autor:	Jun Li, Kuan Lu, WenKuan Wang, Xiangkun Pang, Xiangrong Meng
Rok vydání:	2020
Předmět:	Multivariate statistics Flow curve Artificial neural network Steam turbine Control theory Computer science State (computer science)
Zdroj:	IOP Conference Series: Earth and Environmental Science. 526:012153
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/526/1/012153
Popis:	The Multivariate State Estimation Technique (MSET) is firstly implemented as the fault detection technique for monitoring parameters of the steam turbine valve. Second, healthy operation states are remained to form a preliminary dataset for the valve curve simulation. Then, the Forward neural network (FNN) based piecewise linear fitting method is used to simulate the steam turbine valve flow curve. With a MSET-FNN framework proposed, the simulation accuracy will be enhanced by removing the unhealthy operational states. In addition, the simulation process will gain a speed up with the utilization of GPU.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c5bab67c1290afb65ce566fe143501c7 https://doi.org/10.1088/1755-1315/526/1/012153 Zobrazit plný text záznamu