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Title: Gear-box fault detection using time-frequency based methods

Abstract

Gear-box fault monitoring and detection is important for optimization of power generation and availability of wind turbines. The current industrial approach is to use condition monitoring systems, which runs in parallel with the wind turbine control system, using expensive additional sensors. An alternative would be to use the existing measurements which are normally available for the wind turbine control system. The usage of these sensors instead would cut down the cost of the wind turbine by not using additional sensors. One of these available measurements is the generator speed, in which changes in the gear-box resonance frequency can be detected. Two different time-frequency based approaches are presented in this paper. One is a filter based approach and the other is based on a Karhunen-Loeve basis. Both of them detects the gear-box fault with an acceptable detection delay.

Authors:
;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1252851
Report Number(s):
PNNL-SA-112773
Journal ID: ISSN 1367-5788
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Annual Reviews in Control; Journal Volume: 40
Country of Publication:
United States
Language:
English

Citation Formats

Odgaard, Peter Fogh, and Stoustrup, Jakob. Gear-box fault detection using time-frequency based methods. United States: N. p., 2015. Web. doi:10.1016/j.arcontrol.2015.09.004.
Odgaard, Peter Fogh, & Stoustrup, Jakob. Gear-box fault detection using time-frequency based methods. United States. doi:10.1016/j.arcontrol.2015.09.004.
Odgaard, Peter Fogh, and Stoustrup, Jakob. Thu . "Gear-box fault detection using time-frequency based methods". United States. doi:10.1016/j.arcontrol.2015.09.004.
@article{osti_1252851,
title = {Gear-box fault detection using time-frequency based methods},
author = {Odgaard, Peter Fogh and Stoustrup, Jakob},
abstractNote = {Gear-box fault monitoring and detection is important for optimization of power generation and availability of wind turbines. The current industrial approach is to use condition monitoring systems, which runs in parallel with the wind turbine control system, using expensive additional sensors. An alternative would be to use the existing measurements which are normally available for the wind turbine control system. The usage of these sensors instead would cut down the cost of the wind turbine by not using additional sensors. One of these available measurements is the generator speed, in which changes in the gear-box resonance frequency can be detected. Two different time-frequency based approaches are presented in this paper. One is a filter based approach and the other is based on a Karhunen-Loeve basis. Both of them detects the gear-box fault with an acceptable detection delay.},
doi = {10.1016/j.arcontrol.2015.09.004},
journal = {Annual Reviews in Control},
number = ,
volume = 40,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}