The Resource Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis : preprint, D. Zappalà [and three others.], (electronic resource)

Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis : preprint, D. Zappalà [and three others.], (electronic resource)

Label
Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis : preprint
Title
Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis
Title remainder
preprint
Statement of responsibility
D. Zappalà [and three others.]
Creator
Contributor
Author
Issuing body
Subject
Genre
Language
eng
Summary
Improving the availability of wind turbines (WT) is critical to minimize the cost of wind energy, especially for offshore installations. As gearbox downtime has a significant impact on WT availabilities, the development of reliable and cost-effective gearbox condition monitoring systems (CMS) is of great concern to the wind industry. Timely detection and diagnosis of developing gear defects within a gearbox is an essential part of minimizing unplanned downtime of wind turbines. Monitoring signals from WT gearboxes are highly non-stationary as turbine load and speed vary continuously with time. Time-consuming and costly manual handling of large amounts of monitoring data represent one of the main limitations of most current CMSs, so automated algorithms are required. This paper presents a fault detection algorithm for incorporation into a commercial CMS for automatic gear fault detection and diagnosis. The algorithm allowed the assessment of gear fault severity by tracking progressive tooth gear damage during variable speed and load operating conditions of the test rig. Results show that the proposed technique proves efficient and reliable for detecting gear damage. Once implemented into WT CMSs, this algorithm can automate data interpretation reducing the quantity of information that WT operators must handle
Member of
Cataloging source
SOE
http://library.link/vocab/creatorName
Zappalà, D
Funding information
Sponsored by National Renewable Energy Laboratory
Government publication
federal national government publication
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
2013
http://library.link/vocab/relatedWorkOrContributorName
  • National Renewable Energy Laboratory (U.S.)
  • EWEA (Conference)
Series statement
NREL/CP
Series volume
5000-57395
http://library.link/vocab/subjectName
  • Wind turbines
  • Gearing
  • Electric fault location
Type of report
Conference paper.
Label
Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis : preprint, D. Zappalà [and three others.], (electronic resource)
Link
http://purl.fdlp.gov/GPO/gpo37430
Instantiates
Publication
Note
  • Title from PDF title screen (viewed on Apr. 16, 2013)
  • "January 2013."
  • "To be presented at the European Wind Energy Association 2013 Annual Event, Vienna, Austria, February 4-7, 2013."
  • Available online
Bibliography note
Includes bibliographical references (pages 9-10)
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type MARC source
rdacontent
Control code
ocn839678621
Dimensions
unknown
Extent
1 online resource (10 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Other physical details
color illustrations.
Specific material designation
remote
Label
Sideband algorithm for automatic wind turbine gearbox fault detection and diagnosis : preprint, D. Zappalà [and three others.], (electronic resource)
Link
http://purl.fdlp.gov/GPO/gpo37430
Publication
Note
  • Title from PDF title screen (viewed on Apr. 16, 2013)
  • "January 2013."
  • "To be presented at the European Wind Energy Association 2013 Annual Event, Vienna, Austria, February 4-7, 2013."
  • Available online
Bibliography note
Includes bibliographical references (pages 9-10)
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type MARC source
rdacontent
Control code
ocn839678621
Dimensions
unknown
Extent
1 online resource (10 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Other physical details
color illustrations.
Specific material designation
remote

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