SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
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 …
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
Intelligent condition monitoring of wind power systems: State of the art review
Modern wind turbines operate in continuously transient conditions, with varying speed,
torque, and power based on the stochastic nature of the wind resource. This variability …
torque, and power based on the stochastic nature of the wind resource. This variability …
Multi-sensor fault diagnosis for misalignment and unbalance detection using machine learning
Rotating machines frequently undergo various faults causing increased maintenance and
operation costs. To minimize these costs, effective and intelligent methods are thus required …
operation costs. To minimize these costs, effective and intelligent methods are thus required …
A review of predictive techniques used to support decision making for maintenance operations of wind turbines
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 …
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
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 …
near future, and it is therefore fundamental to reduce the costs associated with this form of …
Wind turbine database for intelligent operation and maintenance strategies
With the aim of helping researchers to develop intelligent operation and maintenance
strategies, in this manuscript, an extensive 3-years Supervisory Control and Data Acquisition …
strategies, in this manuscript, an extensive 3-years Supervisory Control and Data Acquisition …
Performance monitoring of wind turbines gearbox utilising artificial neural networks—steps toward successful implementation of predictive maintenance strategy
BW Shaheen, I Németh - Processes, 2023 - mdpi.com
Manufacturing and energy sectors provide vast amounts of maintenance data and
information which can be used proactively for performance monitoring and prognostic …
information which can be used proactively for performance monitoring and prognostic …
A type-2 fuzzy controller for floating tension-leg platforms in wind turbines
This paper proposes a type-2 fuzzy controller for floating tension-leg platforms in wind
turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed …
turbines. Its main objective is to stabilize and control offshore floating wind turbines exposed …
Wind Turbine Drivetrain Condition Monitoring through SCADA-Collected Temperature Data: Discussion of Selected Recent Papers
D Astolfi - Energies, 2023 - mdpi.com
Wind energy is going to be the leading renewable source of the next decades. For example,
the European Commission has set a target of 50% of electricity production from wind …
the European Commission has set a target of 50% of electricity production from wind …
A bearing fault classification framework based on image encoding techniques and a convolutional neural network under different operating conditions
RN Toma, F Piltan, K Im, D Shon, TH Yoon, DS Yoo… - Sensors, 2022 - mdpi.com
Diagnostics of mechanical problems in manufacturing systems are essential to maintaining
safety and minimizing expenditures. In this study, an intelligent fault classification model that …
safety and minimizing expenditures. In this study, an intelligent fault classification model that …