TB14: A Practical Data-Driven Analysis Case Studies for Gas Turbine Operators
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Date
2021
Journal Title
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Volume Title
Publisher
Turbomachinery Laboratory, Texas A&M Engineering Experiment Station
Abstract
There is abundance of machinery performance data available nowadays due to recent development ofsensors and computational powerUsually those data left to complex/ advance tools (special software) and technique (AI, MachineLearning) for analysisHowever, operator also should be able to practically manipulate and analyze those data to come-outwith useful information to help decision processThis presentation elaborate how to perform data driven analysis on available data with existing tooland knowledge
Description
Technical Briefs