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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149939
Doc. No : ET21731
Main Entry : Daniel Herbert Hanson
Title Proper : ARTIFICIAL NEURAL NETWORK BASED SURVIVAL ANALYSIS FOR HYDRO-MECHANIC AL SYSTEMS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Performance prediction for hydro mechanical systems is a difficult problem.Extreme system operating conditions cause the sensors measuring the performance ofcritical components to fail or lose accuracy over time, making failure diagnosis difficult.In the case of a weapon system, the prediction model must account for many variablessuch as: mechanical wear, elevation, firing rate, temperature and environmentalconditions that influence weapon performance. Information from the model must beuseable for reliability, availability..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 : TL44913.pdf
Title and statement of responsibility and : ARTIFICIAL NEURAL NETWORK BASED SURVIVAL ANALYSIS FOR HYDRO-MECHANIC AL SYSTEMS [Thesis]
 
 
 
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