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Title: Detecting faults in wind turbines

Abstract

A wind turbine generator fault detection method is described. The method includes acquiring current data from a wind turbine generator during operation, determining frequency demodulated signals and amplitude demodulated signals by frequency demodulating and amplitude demodulating the current data, resampling the frequency and amplitude demodulated signals corresponding to the current data, monitoring a frequency spectra of the resampled frequency and amplitude demodulated signals corresponding to the current data to identify one or more excitations in the frequency spectra. In response to identifying one or more excitations in the frequency spectra at one or more of the variable fault characteristic frequencies, the method includes generating and transmitting an alert that indicates that a wind turbine generator fault is detected.

Inventors:
;
Issue Date:
Research Org.:
NUtech Ventures, Lincoln, NE (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1637833
Patent Number(s):
10591519
Application Number:
13/904,469
Assignee:
NUtech Ventures (Lincoln, NE)
Patent Classifications (CPCs):
F - MECHANICAL ENGINEERING F03 - MACHINES OR ENGINES FOR LIQUIDS F03D - WIND MOTORS
F - MECHANICAL ENGINEERING F05 - INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04 F05B - INDEXING SCHEME RELATING TO MACHINES OR ENGINES OTHER THAN NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, TO WIND MOTORS, TO NON-POSITIVE DISPLACEMENT PUMPS, AND TO GENERATING COMBUSTION PRODUCTS OF HIGH PRESSURE OR HIGH VELOCITY
DOE Contract Number:  
EE0001366
Resource Type:
Patent
Resource Relation:
Patent File Date: 05/29/2013
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING

Citation Formats

Qiao, Wei, and Gong, Xiang. Detecting faults in wind turbines. United States: N. p., 2020. Web.
Qiao, Wei, & Gong, Xiang. Detecting faults in wind turbines. United States.
Qiao, Wei, and Gong, Xiang. Tue . "Detecting faults in wind turbines". United States. https://www.osti.gov/servlets/purl/1637833.
@article{osti_1637833,
title = {Detecting faults in wind turbines},
author = {Qiao, Wei and Gong, Xiang},
abstractNote = {A wind turbine generator fault detection method is described. The method includes acquiring current data from a wind turbine generator during operation, determining frequency demodulated signals and amplitude demodulated signals by frequency demodulating and amplitude demodulating the current data, resampling the frequency and amplitude demodulated signals corresponding to the current data, monitoring a frequency spectra of the resampled frequency and amplitude demodulated signals corresponding to the current data to identify one or more excitations in the frequency spectra. In response to identifying one or more excitations in the frequency spectra at one or more of the variable fault characteristic frequencies, the method includes generating and transmitting an alert that indicates that a wind turbine generator fault is detected.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {3}
}

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