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Author

Title SCADA data modeling for wind turbine gearbox failure detection using machine learning and big data technologies / Rafael Orozco, Shawn Sheng, Caleb Phillips, and Lindy Williams.

Publication Info.

Golden, CO : National Renewable Energy Laboratory, 2020.

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Description	1 online resource (18 pages) : color illustrations.
	text txt rdacontent
	computer c rdamedia
	online resource cr rdacarrier
Series	NREL/PR ; 5000-76056
	NREL/PR ; 5000-76056.
Note	Presented at the ARIES Workshop, 22-24 January 2020, Oak Ridge, Tennessee.
	"January 23, 2020."
Bibliography	Includes bibliographical references.
Funding	Contract no. DE-AC36-08GO28308
Note	Description based on online resource; title from PDF title page (NREL, viewed on Oct. 20, 2020).
Summary	This presentation was given at the AIRES Workshop on January 23, 2020.
Subject	Wind turbines -- Monitoring.
	Supervisory control systems.
	Éoliennes -- Surveillance.
	Commande supervisée.
	Supervisory control systems. (OCoLC)fst01139089
Indexed Term	failure detection
	gearbox
	machine learning
	reliability
	SCADA
	wind energy
Added Author	National Renewable Energy Laboratory (U.S.), issuing body.
Standard No.	1606139 OSTI ID
	0000-0003-0134-0907
	0000-0002-3665-4239
Gpo Item No.	0430-P-09 (online)
Sudoc No.	E 9.22:NREL/PR-5000-76056