SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

R Pandit, D Astolfi, J Hong, D Infield… - Wind …, 2023 - journals.sagepub.com
This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …

A review of research on wind turbine bearings' failure analysis and fault diagnosis

H Peng, H Zhang, Y Fan, L Shangguan, Y Yang - Lubricants, 2022 - mdpi.com
Bearings are crucial components that decide whether or not a wind turbine can work
smoothly and that have a significant impact on the transmission efficiency and stability of the …

Early fault detection in the main bearing of wind turbines based on Gated Recurrent Unit (GRU) neural networks and SCADA data

Á Encalada-Dávila, L Moyón, C Tutivén… - IEEE/ASME …, 2022 - ieeexplore.ieee.org
Failures in the main bearings of wind turbines are critical in terms of downtime and
replacement cost. Early diagnosis of their faults would lower the levelized cost of wind …

Condition monitoring of wind turbine systems by explainable artificial intelligence techniques

D Astolfi, F De Caro, A Vaccaro - Sensors, 2023 - mdpi.com
The performance evaluation of wind turbines operating in real-world environments typically
relies on analyzing the power curve, which shows the relationship between wind speed and …

A review of predictive techniques used to support decision making for maintenance operations of wind turbines

RK Pandit, D Astolfi, I Durazo Cardenas - Energies, 2023 - mdpi.com
The analysis of reliable studies helps to identify the credibility, scope, and limitations of
various techniques for condition monitoring of a wind turbine (WT) system's design and …

Discussion on the suitability of SCADA-Based Condition monitoring for wind turbine Fault diagnosis through Temperature Data Analysis

A Murgia, R Verbeke, E Tsiporkova, L Terzi, D Astolfi - Energies, 2023 - mdpi.com
Wind turbines are expected to provide on the order of 50% of the electricity worldwide in the
near future, and it is therefore fundamental to reduce the costs associated with this form of …

Fault-tree-analysis-based health monitoring for autonomous underwater vehicle

S Byun, M Papaelias, FPG Márquez, D Lee - Journal of Marine Science …, 2022 - mdpi.com
Undersea terrain and resource exploration missions using autonomous underwater vehicles
(AUVs) require a great deal of time. Therefore, it is necessary to monitor the state of the AUV …

A Review of machine learning techniques for wind turbine's fault detection, diagnosis, and prognosis

PW Khan, YC Byun - International Journal of Green Energy, 2024 - Taylor & Francis
Wind turbines are becoming increasingly important in the generation of clean, renewable
energy worldwide. To ensure their dependable and accessible operation, advanced real …

Early fault diagnosis strategy for WT main bearings based on SCADA data and one-class SVM

C Tutivén, Y Vidal, A Insuasty, L Campoverde-Vilela… - Energies, 2022 - mdpi.com
To reduce the levelized cost of wind energy, through the reduction in operation and
maintenance costs, it is imperative that the wind turbine downtime is reduced through …

SCADA data analysis for long-term wind turbine performance assessment: A case study

D Astolfi, R Pandit, L Celesti, A Lombardi… - … Energy Technologies and …, 2022 - Elsevier
The long-term analysis of wind turbine performance is a complex task, because the
extracted power has a multivariate dependence on ambient conditions and working …