id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_gif4gadfzngo3d44zddi5tyxym	J.M. Molina	Hydroelectric power plant management relying on neural networks and expert system integration	2000	3	.pdf	application/pdf	1392	97	53	Hydroelectric power plant management relying on neural networks and expert system integration Hydroelectric power plant management relying on neural The use of Neural Networks (NN) is a novel approach that can help in taking decisions when integrated in a more general general architecture is composed of an Expert System and two NN modules: Acoustic Prediction (NNAP) and Predictive from the plant state variables, in order to prevent future malfunctions. about abnormal plant situations, and is based on neural nets trained with the backpropagation algorithm. Keywords: Predictive maintenance; Neural networks; ART; LVQ; Power plants; Expert systems The management systems of power plants continuously monitor di�erent features of several subsystems: valid ranges for variables, and to predict future abnormal situations from these values, using the expert advanced system for predictive maintenance incorporating audio and video) has been developed to forecast internal state variables (NN Predictive MaintenanceNNPM), and the other takes the spectral values of	./cache/work_gif4gadfzngo3d44zddi5tyxym.pdf	./txt/work_gif4gadfzngo3d44zddi5tyxym.txt