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dc.contributorAsia Turbomachinery & Pump Symposium (2nd : 2021)
dc.creatorAhmad Asnawi, Khairul Fata b
dc.creatorOmar, Azreel Zairee b
dc.date.accessioned2023-02-23T20:10:39Z
dc.date.available2023-02-23T20:10:39Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1969.1/197481
dc.descriptionTechnical Briefs
dc.description.abstractThere 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
dc.format.mediumElectronic
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherTurbomachinery Laboratory, Texas A&M Engineering Experiment Station
dc.relation.ispartofAsia Turbomachinery & Pump Symposia. 2021 Proceedings
dc.titleTB14: A Practical Data-Driven Analysis Case Studies for Gas Turbine Operators
dc.type.genreconference publication
dc.type.materialText
dc.format.digitalOriginborn digital


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