Real-time monitoring, prognosis, and resilient control for wind turbine systems

Gao, Zhiwei; Sheng, Shuangwen

doi:10.1016/j.renene.2017.10.059

Title: Real-time monitoring, prognosis, and resilient control for wind turbine systems

Journal Article · Sat Oct 21 00:00:00 EDT 2017 · Renewable Energy

DOI:https://doi.org/10.1016/j.renene.2017.10.059· OSTI ID:1417288

Gao, Zhiwei ^[1]; Sheng, Shuangwen ^[2]

Univ. of Northumbria, Newcastle upon Tyne (United Kingdom)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

This special issue aims to provide a platform for academic and industrial communities to report recent results and emerging research in real-time monitoring, fault diagnosis, prognosis, and resilient control and design of wind turbine systems. After a strict peer-review process, 20 papers were selected, which represent the most recent progress of the real-time monitoring, diagnosis, prognosis, and resilient control methods/techniques in wind turbine systems.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1417288

Alternate ID(s):: OSTI ID: 1549386

Report Number(s):: NREL/JA-5000-70021

Journal Information:: Renewable Energy, Vol. 116, Issue PB; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 48 works

Citation information provided by
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References (21)

Real-time fault diagnosis and fault-tolerant control Gao, Zhiwei; Ding, Steven X.; Cecati, Carlo IEEE Transactions on Industrial Electronics, Vol. 62, Issue 6 https://doi.org/10.1109/TIE.2015.2417511	journal	June 2015
Condition monitoring and fault detection of wind turbines and related algorithms: A review Hameed, Z.; Hong, Y. S.; Cho, Y. M. Renewable and Sustainable Energy Reviews, Vol. 13, Issue 1 https://doi.org/10.1016/j.rser.2007.05.008	journal	January 2009
Condition monitoring of wind turbines: Techniques and methods García Márquez, Fausto Pedro; Tobias, Andrew Mark; Pinar Pérez, Jesús María Renewable Energy, Vol. 46 https://doi.org/10.1016/j.renene.2012.03.003	journal	October 2012
Current signature analysis to monitor DFIG wind turbine generators: A case study Artigao, Estefania; Honrubia-Escribano, Andres; Gomez-Lazaro, Emilio Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.06.016	journal	February 2018
Performance analysis of electrical signature analysis-based diagnostics using an electromechanical model of wind turbine Shahriar, Md Rifat; Borghesani, Pietro; Ledwich, Gerard Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.04.006	journal	February 2018
Wavelet transforms and pattern recognition on ultrasonic guides waves for frozen surface state diagnosis Gómez Muñoz, Carlos Quiterio; Arcos Jiménez, Alfredo; García Márquez, Fausto Pedro Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.052	journal	February 2018
Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations Li, Zhixiong; Jiang, Yu; Guo, Qiang Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2016.12.013	journal	February 2018
Vibration-based bearing fault detection for operations and maintenance cost reduction in wind energy Peeters, Cédric; Guillaume, Patrick; Helsen, Jan Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.01.056	journal	February 2018
Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average Cambron, P.; Masson, C.; Tahan, A. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2016.09.029	journal	February 2018
Data driven sensor and actuator fault detection and isolation in wind turbine using classifier fusion Pashazadeh, Vahid; Salmasi, Farzad R.; Araabi, Babak N. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.051	journal	February 2018
Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data Dao, Phong B.; Staszewski, Wieslaw J.; Barszcz, Tomasz Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.06.089	journal	February 2018
A year-long monitoring of preloaded free-maintenance bolts – Estimation of preload loss on BobTail bolts Matos, R.; Shah Mohammadi, M. R.; Rebelo, C. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.05.092	journal	February 2018
A testing procedure for wind turbine generators based on the power grid statistical model Farajzadeh, Saber; Ramezani, Mohammad H.; Nielsen, Peter Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.073	journal	February 2018
Parameter-varying modelling and fault reconstruction for wind turbine systems Shao, Hui; Gao, Zhiwei; Liu, Xiaoxu Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.08.083	journal	February 2018
Evaluation of damping estimates by automated Operational Modal Analysis for offshore wind turbine tower vibrations Bajrić, Anela; Høgsberg, Jan; Rüdinger, Finn Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.043	journal	February 2018
Hybrid method for remaining useful life prediction in wind turbine systems Djeziri, M. A.; Benmoussa, S.; Sanchez, R. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.05.020	journal	February 2018
Maintenance scheduling based on remaining useful life predictions for wind farms managed using power purchase agreements Lei, Xin; Sandborn, Peter A. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.053	journal	February 2018
Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data Dai, Juchuan; Yang, Wenxian; Cao, Junwei Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.03.097	journal	February 2018
Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system Shahbazi, Mahmoud; Poure, Philippe; Saadate, Shahrokh Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.02.066	journal	February 2018
Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation Lan, Jianglin; Patton, Ron J.; Zhu, Xiaoyuan Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2016.12.005	journal	February 2018
Performance optimization of a wind turbine column for different incoming wind turbulence Santhanagopalan, V.; Rotea, M. A.; Iungo, G. V. Renewable Energy, Vol. 116 https://doi.org/10.1016/j.renene.2017.05.046	journal	February 2018

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Study on Three-Dimensional Stress Field of Gob-Side Entry Retaining by Roof Cutting without Pillar under Near-Group Coal Seam Mining Sun, Xiaoming; Liu, Yangyang; Wang, Junwei Processes, Vol. 7, Issue 9 https://doi.org/10.3390/pr7090552	journal	August 2019
Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification Dineva, Adrienn; Mosavi, Amir; Gyimesi, Mate Applied Sciences, Vol. 9, Issue 23 https://doi.org/10.3390/app9235086	journal	November 2019
Application of Variable Step Size Beetle Antennae Search Optimization Algorithm in the Study of Spatial Cylindrical Errors Wang, Chen; Wang, Yi; Wang, Kesheng Lecture Notes in Electrical Engineering https://doi.org/10.1007/978-981-15-2341-0_81	book	January 2020
A Comparative Study on Primary Bearing Rating Life of a 5-MW Two-Blade Wind Turbine System Based on Two Different Control Domains Energies, Vol. 12, Issue 13 https://doi.org/10.3390/en12132607	journal	July 2019
LSTM Based Prediction and Time-Temperature Varying Rate Fusion for Hydropower Plant Anomaly Detection: A Case Study Yuan, Jin; Wang, Yi; Wang, Kesheng Advanced Manufacturing and Automation VIII https://doi.org/10.1007/978-981-13-2375-1_13	book	December 2018

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