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Title: Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System

Abstract

Not provided.

Authors:
; ORCiD logo; ; 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:
1541506
DOE Contract Number:  
EE0006802
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Industry Applications
Additional Journal Information:
Journal Volume: 54; Journal Issue: 2; Journal ID: ISSN 0093-9994
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
Engineering

Citation Formats

Peng, Yayu, Qiao, Wei, Qu, Liyan, and Wang, Jun. Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System. United States: N. p., 2018. Web. doi:10.1109/tia.2017.2777925.
Peng, Yayu, Qiao, Wei, Qu, Liyan, & Wang, Jun. Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System. United States. doi:10.1109/tia.2017.2777925.
Peng, Yayu, Qiao, Wei, Qu, Liyan, and Wang, Jun. Thu . "Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System". United States. doi:10.1109/tia.2017.2777925.
@article{osti_1541506,
title = {Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System},
author = {Peng, Yayu and Qiao, Wei and Qu, Liyan and Wang, Jun},
abstractNote = {Not provided.},
doi = {10.1109/tia.2017.2777925},
journal = {IEEE Transactions on Industry Applications},
issn = {0093-9994},
number = 2,
volume = 54,
place = {United States},
year = {2018},
month = {3}
}