Remote Health Monitoring of Gas Turbines:

منو

" Remote Health Monitoring of Gas Turbines: "
Allen, Cody de Oliveira, Muaricio

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	903192
Doc. No	:	TL335162gn
Main Entry	:	Allen, Cody
Title & Author	:	Remote Health Monitoring of Gas Turbines:\ Allen, Codyde Oliveira, Muaricio
College	:	UC San Diego
Date	:	2020
student score	:	2020
Abstract	:	This dissertation is a repository of techniques employed in the health management of industrial gas turbines. The first chapters cover methods of diagnostics using statistics and machine learning algorithms to identify deviations from normal operation. The middle chapters cover applications of prognostics in the sense of generating predictions of various sensor values of interest and comparing predictions with observed values through residual analysis. The later chapters develop applications of optimization techniques to the estimation of compressor degradation rates and to the creation of optimized maintenance schedules. The final chapter takes a more scrutinizing look at the mathematics of estimating piecewise linear functions and proves a result about minimal cardinality. Taken in whole, this work covers a broad spectrum from applications to theory of remote health management of Gas Turbines, and generally, rotating machines.
Added Entry	:	de Oliveira, Muaricio
Added Entry	:	UC San Diego