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Title: Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines

Abstract

Not provided.

Authors:
; ; ORCiD logo
Publication Date:
Research Org.:
Univ. of Nebraska, Lincoln, NE (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1536658
DOE Contract Number:  
EE0006802
Resource Type:
Journal Article
Journal Name:
IEEE Translations on Industrial Electronics
Additional Journal Information:
Journal Volume: 63; Journal Issue: 10; Journal ID: ISSN 0278-0046
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
Automation & Control Systems; Engineering; Instruments & Instrumentation

Citation Formats

Wang, Jun, Peng, Yayu, and Qiao, Wei. Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines. United States: N. p., 2016. Web. doi:10.1109/tie.2016.2571258.
Wang, Jun, Peng, Yayu, & Qiao, Wei. Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines. United States. doi:10.1109/tie.2016.2571258.
Wang, Jun, Peng, Yayu, and Qiao, Wei. Sat . "Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines". United States. doi:10.1109/tie.2016.2571258.
@article{osti_1536658,
title = {Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines},
author = {Wang, Jun and Peng, Yayu and Qiao, Wei},
abstractNote = {Not provided.},
doi = {10.1109/tie.2016.2571258},
journal = {IEEE Translations on Industrial Electronics},
issn = {0278-0046},
number = 10,
volume = 63,
place = {United States},
year = {2016},
month = {10}
}