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035 a| (Sirsi) o1275381846;

043 a| n-us---;

049 a| ERE#;

074 a| 0430-P-09 (online);

086 0 a| E 9.22:NREL/PR-2C 00-79167;

100 1 a| Williams, Lindy,e| author.=| ^A1431925;

245 10 a| Machine learning for gearbox fault prediction by using both SCADA and modeled data /c| Lindy Williams [and four others].;

246 3 a| Machine learning for gearbox fault prediction by using both supervisory control and data acquisition and modeled data;

264 1 a| [Golden, Colo.] :b| National Renewable Energy Laboratory,c| [February 2021];

300 a| 1 online resource (19 pages) :b| color illustrations.;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| NREL/PR ;v| 2C00-79167;

500 a| "Drivetrain Reliability Collaborative Workshop."';

500 a| "February 16-17, 2021.";

500 a| GPO Cataloging Record Distribution Program (CRDP).;

504 a| Includes bibliographical references (page 19).;

536 a| National Renewable Energy Laboratoryb| DE-AC36-08GO28308;

588 a| Description based on online resource; title from PDF title page (NREL, viewed on Oct. 13, 2021).;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Supervisory control systemsz| United States.=| ^A868420;

650 0 a| Wind turbinesz| United States.=| ^A429386;

710 2 a| National Renewable Energy Laboratory (U.S.)e| issuing body.=| ^A367790;

830 0 a| NREL/PRv| 2C00-79167.=| ^A782094;

856 40 u| https://purl.fdlp.gov/GPO/gpo161158;

922 a| DOCDISCOVERY;

949 a| Click on web addressw| asish| joyner94;

596 a| 1;

998 a| 5768470;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5768470-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 11/30/2021x| EDOCUMENTz| JERESOURCE;

Machine learning for gearbox fault prediction by using both SCADA and modeled data / Lindy Williams [and four others].

Author/creator	Williams, Lindy author.
Other author	National Renewable Energy Laboratory (U.S.) issuing body.
Format	Electronic
Publication	[Golden, Colo.] : National Renewable Energy Laboratory, [February 2021]
Description	1 online resource (19 pages) : color illustrations.
Supplemental Content	https://purl.fdlp.gov/GPO/gpo161158
Subjects	Machine learning. Supervisory control systems--United States. Wind turbines--United States.

Variant title	Machine learning for gearbox fault prediction by using both supervisory control and data acquisition and modeled data
Series	NREL/PR ; 2C00-79167 NREL/PR 2C00-79167. ^A782094
General note	"Drivetrain Reliability Collaborative Workshop."'
General note	"February 16-17, 2021."
General note	GPO Cataloging Record Distribution Program (CRDP).
Bibliography note	Includes bibliographical references (page 19).
Funding information	National Renewable Energy Laboratory DE-AC36-08GO28308
Source of description	Description based on online resource; title from PDF title page (NREL, viewed on Oct. 13, 2021).
GPO item number	0430-P-09 (online)
Govt. docs number	E 9.22:NREL/PR-2C 00-79167

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

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