A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Fuzzy control systems: Past, present and future
AT Nguyen, T Taniguchi, L Eciolaza… - IEEE Computational …, 2019 - ieeexplore.ieee.org
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
Anomaly detection and fault analysis of wind turbine components based on deep learning network
H Zhao, H Liu, W Hu, X Yan - Renewable energy, 2018 - Elsevier
Continuous monitoring of wind turbine health using early fault detection methods can
improve turbine reliability and reduce maintenance costs before they reach a catastrophic …
improve turbine reliability and reduce maintenance costs before they reach a catastrophic …
Wind turbine fault detection using a denoising autoencoder with temporal information
Data-driven approaches have gained increasing interests in the fault detection of wind
turbines (WTs) due to the difficulty in system modeling and the availability of sensor data …
turbines (WTs) due to the difficulty in system modeling and the availability of sensor data …
Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review
Reliability improvement of wind turbine power generation is the key issue that can turn the
wind power into one of the main power sources to respond to the world power demands …
wind power into one of the main power sources to respond to the world power demands …
Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark
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 …
of production conditions. These electrical systems are nowadays expanding rapidly, and …
Decoupling adaptive sliding mode observer design for wind turbines subject to simultaneous faults in sensors and actuators
This paper proposes an adaptive sliding mode observer (ASMO)-based approach for wind
turbines subject to simultaneous faults in sensors and actuators. The proposed approach …
turbines subject to simultaneous faults in sensors and actuators. The proposed approach …
[HTML][HTML] Influence of statistical uncertainty of component reliability estimations on offshore wind farm availability
MN Scheu, A Kolios, T Fischer, F Brennan - Reliability Engineering & …, 2017 - Elsevier
Offshore wind turbine reliability, one of the industry's biggest sources of uncertainty, is the
focus of the present paper. Specifically the impact of uncertain component failure …
focus of the present paper. Specifically the impact of uncertain component failure …
Wind turbine condition monitoring based on a novel multivariate state estimation technique
Z Wang, C Liu - Measurement, 2021 - Elsevier
With the development of the wind energy industry, condition monitoring (CM) has become
one of the important ways to improve the reliability of wind turbines (WTs). A data driven …
one of the important ways to improve the reliability of wind turbines (WTs). A data driven …
Adaptive PID control of wind turbines for power regulation with unknown control direction and actuator faults
Proportional integral derivative (PID) regulators are the most practical control schemes for
industrial wind turbines. The key to PID design is the determination of the control parameter …
industrial wind turbines. The key to PID design is the determination of the control parameter …