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Article

Optimal Temperature-Based Condition Monitoring System for Wind Turbines

1
R&D Energy Division, OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany
2
Institute of Electrical Power and Energy Technology, Hamburg University of Technology, 21073 Hamburg, Germany
3
EWE Offshore, Service & Solutions GmbH, 26123 Oldenburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Fabio Rizzo
Infrastructures 2021, 6(4), 50; https://doi.org/10.3390/infrastructures6040050
Received: 16 March 2021 / Revised: 19 March 2021 / Accepted: 23 March 2021 / Published: 26 March 2021
(This article belongs to the Special Issue Resilient Strategies in Cyber-Physical Energy Systems)
With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the normal condition of the WTs key components is estimated using a tailor-made artificial neural network. Then, the deviation of the real-time measurement data from the estimated values is calculated, indicating abnormal conditions. One of the main contributions of the paper is to propose an optimization problem for calculating the safe band, to maximize the accuracy of abnormal condition identification. During abnormal conditions or hazardous conditions of the WTs, an alarm is triggered and a proposed risk indicator is updated. The effectiveness of the model is demonstrated using real data from an offshore wind farm in Germany. By experimenting with the proposed model on the real-world data, it is shown that the proposed risk indicator is fully consistent with upcoming wind turbine failures. View Full-Text
Keywords: artificial neural network; condition-based maintenance; health monitoring; wind turbine artificial neural network; condition-based maintenance; health monitoring; wind turbine
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MDPI and ACS Style

Teimourzadeh Baboli, P.; Babazadeh, D.; Raeiszadeh, A.; Horodyvskyy, S.; Koprek, I. Optimal Temperature-Based Condition Monitoring System for Wind Turbines. Infrastructures 2021, 6, 50. https://doi.org/10.3390/infrastructures6040050

AMA Style

Teimourzadeh Baboli P, Babazadeh D, Raeiszadeh A, Horodyvskyy S, Koprek I. Optimal Temperature-Based Condition Monitoring System for Wind Turbines. Infrastructures. 2021; 6(4):50. https://doi.org/10.3390/infrastructures6040050

Chicago/Turabian Style

Teimourzadeh Baboli, Payam, Davood Babazadeh, Amin Raeiszadeh, Susanne Horodyvskyy, and Isabel Koprek. 2021. "Optimal Temperature-Based Condition Monitoring System for Wind Turbines" Infrastructures 6, no. 4: 50. https://doi.org/10.3390/infrastructures6040050

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