Fault Detection of Wind Turbine Sensors Using Artificial Neural Networks

Prognostic techniques applied to maintenance of wind turbines: a concise and specific review

(2018) Gustavo de Novaes Pires Leite et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

(2018) Phong B. Dao et al.   RENEWABLE ENERGY

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method

(2017) et al.   SENSORS

Wind Turbine Blade Monitoring with Brillouin-Based Fiber-Optic Sensors

(2017) Agnese Coscetta et al.   Journal of Sensors

A generalized model for wind turbine anomaly identification based on SCADA data

(2016) Peng Sun et al.   APPLIED ENERGY

Gearbox Fault Diagnosis in a Wind Turbine Using Single Sensor Based Blind Source Separation

(2016) Yuning Qian et al.   Journal of Sensors

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods

(2015) Wei Qiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

(2015) Wei Qiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A survey of health monitoring systems for wind turbines

(2015) Mathew L. Wymore et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks

(2015) Omar Mabrok Bouzid et al.   Journal of Sensors

Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges

(2014) Pierre Tchakoua et al.   Energies

Fault-Tolerant Control of Wind Turbines: A Benchmark Model

(2013) Peter Fogh Odgaard et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Wind turbine condition monitoring by the approach of SCADA data analysis

(2013) Wenxian Yang et al.   RENEWABLE ENERGY

Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description

(2012) Meik Schlechtingen et al.   APPLIED SOFT COMPUTING

Wind turbine condition monitoring: technical and commercial challenges

(2012) Wenxian Yang et al.   WIND ENERGY

Sensor and actuator fault diagnosis for wind turbine systems by using robust observer and filter

(2010) X. Wei et al.   WIND ENERGY