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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151483
Doc. No : ET23275
Main Entry : TIEN-KUO WANG
Title Proper : ON-BOARD NEURAL NETWORK-BASED SENSOR FAULT DIAGNOSIS SYSTEM FOR AUTOMOTIVE ENGINES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In the new millennium, automobile designs emphasize improved performance,safety and comfort with reduced exhaust emissions which must comply withincreasingly stringent federal and states laws. These require an increasing number ofactuators and sensors for the sophisticated control techniques applied in the modemautomobiles. In order to promote the reliability and maintainability of automotivesystems, an on-board fault detection and isolation (FDI) system capable of detecting -and identif'yrng actuator and sensor faults is necessary.In this work, an on-board....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46512.pdf
Title and statement of responsibility and : ON-BOARD NEURAL NETWORK-BASED SENSOR FAULT DIAGNOSIS SYSTEM FOR AUTOMOTIVE ENGINES [Thesis]
 
 
 
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