Neural Network-Based System for Sensor Validation in Stationary Internal Combustion EnginesPOMPES PAR TRANSITIONS MULTIPLES

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" Neural Network-Based System for Sensor Validation in Stationary Internal Combustion EnginesPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153099
Doc. No	:	ET24891
Main Entry	:	Earique Edgar Le6n Villeda
Title Proper	:	Neural Network-Based System for Sensor Validation in Stationary Internal Combustion EnginesPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The research presented in this thesis was aimed at investigating a sensor validation modelcapable of detecting, isolating, and compensating multiple simultaneous failures of sensorsthat participate in controlling stationary internal combustion engines. The proposed sensorvalidation model was embedded in a software application designed to operate in real-timefor preventing the introduction of erroneous information to the control system, thus.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49102.pdf
Title and statement of responsibility and	:	Neural Network-Based System for Sensor Validation in Stationary Internal Combustion EnginesPOMPES PAR TRANSITIONS MULTIPLES [Thesis]