4.5 Article

Fault Detection of Wind Turbine Sensors Using Artificial Neural Networks

Related references

Note: Only part of the references are listed.
Review Green & Sustainable Science & Technology

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

Gustavo de Novaes Pires Leite et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Green & Sustainable Science & Technology

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

Phong B. Dao et al.

RENEWABLE ENERGY (2018)

Article Automation & Control Systems

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

Long Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Article Engineering, Electrical & Electronic

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

Agnese Coscetta et al.

JOURNAL OF SENSORS (2017)

Article Engineering, Electrical & Electronic

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

Yuning Qian et al.

JOURNAL OF SENSORS (2016)

Article Automation & Control Systems

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

Wei Qiao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Article Automation & Control Systems

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

Wei Qiao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Review Green & Sustainable Science & Technology

A survey of health monitoring systems for wind turbines

Mathew L. Wymore et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)

Article Engineering, Electrical & Electronic

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

Omar Mabrok Bouzid et al.

JOURNAL OF SENSORS (2015)

Article Energy & Fuels

Wind turbine condition monitoring: technical and commercial challenges

Wenxian Yang et al.

WIND ENERGY (2014)

Article Computer Science, Artificial Intelligence

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

Meik Schlechtingen et al.

APPLIED SOFT COMPUTING (2013)

Article Automation & Control Systems

Fault-Tolerant Control of Wind Turbines: A Benchmark Model

Peter Fogh Odgaard et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2013)

Article Green & Sustainable Science & Technology

Wind turbine condition monitoring by the approach of SCADA data analysis

Wenxian Yang et al.

RENEWABLE ENERGY (2013)

Article Energy & Fuels

Rotor condition monitoring for improved operational safety of offshore wind energy converters

P Caselitz et al.

JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME (2005)