Diagnostic models for wind turbine gearbox components using SCADA time series data

Saved in:

Bibliographic Details
Author / Creator:	Orozco, Rafael, ingeniero de minas
Imprint:	[Golden, Colo.] : National Renewable Energy Laboratory, 2018.
Description:	1 online resource (9 pages) : color illustrations.
Language:	English
Series:	Conference paper ; NREL/CP-5000-71166 Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5000-71166.
Subject:	Wind turbines -- Equipment and supplies. Wind turbines -- Design and construction. Gearing. Gearing. Wind turbines -- Design and construction.
Format:	E-Resource U.S. Federal Government Document Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11713342

Hidden Bibliographic Details
Varying Form of Title:	Diagnostic models for wind turbine gearbox components using supervisory control and data acquisition time series data
Other authors / contributors:	Sheng, S. (Shuangwen), author. Phillips, Caleb, author. National Renewable Energy Laboratory (U.S.), issuing body.
Notes:	"Preprint." "Presented at the 2018 IEEE International Conference on Prognostics and Health Management, Seattle, Washington, June 11-13, 2018." "July 2018." Includes bibliographical references (pages 8-9). DE-AC36-08GO28308 Description based on online resource; title from PDF title page (NREL, viewed Oct. 10, 2018).
GPO item no.:	0430-P-04 (online)
Govt.docs classification:	E 9.17:NREL/CP-5000-71166

Similar Items