Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark

Z Zemali, L Cherroun, N Hadroug, A Hafaifa, A Iratni… - Renewable Energy, 2023 - Elsevier
A wind turbine (WT) is an electromechanical system that often operates under a wide range
of production conditions. These electrical systems are nowadays expanding rapidly, and …

Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS

B Chen, PC Matthews, PJ Tavner - Expert Systems with Applications, 2013 - Elsevier
The fast growing wind industry has shown a need for more sophisticated fault prognosis
analysis in the critical and high value components of a wind turbine (WT). Current WT …

Effective fault diagnosis method for the pitch system, the drive train, and the generator with converter in a wind turbine system

A Saci, L Cherroun, A Hafaifa, O Mansour - Electrical Engineering, 2022 - Springer
This paper aims to present an effective fault diagnosis method-based detection for sensors,
actuators, and system faults in a wind turbine machine. The proposed detection method is …

[HTML][HTML] Intelligent fault diagnosis techniques applied to an offshore wind turbine system

S Simani, P Castaldi - Applied Sciences, 2019 - mdpi.com
Fault diagnosis of wind turbine systems is a challenging process, especially for offshore
plants, and the search for solutions motivates the research discussed in this paper. In fact …

Automated on‐line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition

B Chen, PC Matthews, PJ Tavner - IET Renewable Power …, 2015 - Wiley Online Library
Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of
energy, particularly when WTs are operated offshore. A supervisory control and data …

[HTML][HTML] A Review of Fault Diagnosis, Status Prediction, and Evaluation Technology for Wind Turbines

F Zhang, M Chen, Y Zhu, K Zhang, Q Li - Energies, 2023 - mdpi.com
With the rapid development and increasing energy production capacity of high-power wind
turbines, a corresponding increase in maintenance requirements has been observed …

[HTML][HTML] Fuzzy and neural network approaches to wind turbine fault diagnosis

S Farsoni, S Simani, P Castaldi - Applied Sciences, 2021 - mdpi.com
The fault diagnosis of safety critical systems such as wind turbine installations includes
extremely challenging aspects that motivate the research issues considered in this paper …

[HTML][HTML] Fault diagnosis methods for wind turbines health monitoring: a review

B Abichou, D Flórez… - PHM Society …, 2014 - papers.phmsociety.org
Recently, the rapid expansion of wind energy activity has led to an increasing number of
publications that deal with wind turbine health monitoring. In real practice, implementing a …

Fault diagnosis of a wind turbine benchmark via identified fuzzy models

S Simani, S Farsoni, P Castaldi - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In order to improve the availability of wind turbines and to avoid catastrophic consequences,
the detection of faults in their earlier occurrence is fundamental. This paper proposes the …

Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks

S Cho, M Choi, Z Gao, T Moan - Renewable Energy, 2021 - Elsevier
This paper describes the development of a fault detection and diagnosis method to
automatically identify different fault conditions of a hydraulic blade pitch system in a spar …