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 …
Critical wind turbine components prognostics: A comprehensive review
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …
Fault diagnosis of rolling bearings based on an improved stack autoencoder and support vector machine
M Cui, Y Wang, X Lin, M Zhong - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In recent years, autoencoder has been widely used for the fault diagnosis of mechanical
equipment because of its excellent performance in feature extraction and dimension …
equipment because of its excellent performance in feature extraction and dimension …
A comprehensive review of artificial intelligence and wind energy
Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …
through the main policies of developed countries, eg, the White Paper of the European …
Wavelet packet decomposition-based multiscale CNN for fault diagnosis of wind turbine gearbox
This article presents an intelligent fault diagnosis method for wind turbine (WT) gearbox by
using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration …
using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration …
Advances in fault condition monitoring for solar photovoltaic and wind turbine energy generation: A review
Renewable energy-based power generation technologies are becoming more and more
popular since they represent alternative solutions to the recent economic and environmental …
popular since they represent alternative solutions to the recent economic and environmental …
Fault diagnosis in wind turbines based on ANFIS and Takagi–Sugeno interval observers
Wind turbine power generation is becoming one of the most critical renewable energy
sources. As wind power grows, there is a need for better monitoring and diagnostic …
sources. As wind power grows, there is a need for better monitoring and diagnostic …
A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades
This paper proposes a Bayesian framework based on particle filters for online fatigue
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …
Comparison of new anomaly detection technique for wind turbine condition monitoring using gearbox SCADA data
Anomaly detection for wind turbine condition monitoring is an active area of research within
the wind energy operations and maintenance (O & M) community. In this paper three models …
the wind energy operations and maintenance (O & M) community. In this paper three models …
A fast anomaly diagnosis approach based on modified CNN and multisensor data fusion
In this article, a modified convolutional neural network (CNN) algorithm, namely 1D-
GAPCNN-SVM, is proposed to address the early anomaly diagnosis problem. Considering …
GAPCNN-SVM, is proposed to address the early anomaly diagnosis problem. Considering …