[HTML][HTML] A state-of-the-art review on wind power converter fault diagnosis
The rapid expansion of installed wind energy capacity and the continuous development of
wind turbine technology has drawn attention to operation and maintenance issues. In order …
wind turbine technology has drawn attention to operation and maintenance issues. In order …
[HTML][HTML] A parallel deep neural network for intelligent fault diagnosis of drilling pumps
This paper introduces a novel parallel deep neural network for fault diagnosis of drilling
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
Review and perspectives of machine learning methods for wind turbine fault diagnosis
M Tang, Q Zhao, H Wu, Z Wang, C Meng… - Frontiers in Energy …, 2021 - frontiersin.org
Wind turbines (WTs) generally comprise several complex and interconnected systems, such
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …
Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems
A Ajagekar, F You - Applied Energy, 2021 - Elsevier
Quantum computing (QC) and deep learning have shown promise of supporting
transformative advances and have recently gained popularity in a wide range of areas. This …
transformative advances and have recently gained popularity in a wide range of areas. This …
A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data …
X Zheng, S Zhou, T Jin - Energy, 2023 - Elsevier
Faced with the growing renewable energy requirements, there is increased interest in cross-
region of large-scale renewable energy market, which provides an alternative path for …
region of large-scale renewable energy market, which provides an alternative path for …
Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
S Ma, Q Han, F Chu - Expert Systems with Applications, 2023 - Elsevier
Early fault feature extraction and fault diagnosis are of great importance for predictive
maintenance of rotating machinery. To accurately extract early fault features from original …
maintenance of rotating machinery. To accurately extract early fault features from original …
Open-circuit fault diagnosis in power inverters through currents analysis in time domain
JA Reyes-Malanche, FJ Villalobos-Pina… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Power inverters are essential components in modern electrical distribution systems.
Switches are key elements of a power inverter, and they are the more affected components …
Switches are key elements of a power inverter, and they are the more affected components …
Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model
Abstract Reliability analysis of IESs (Integrated Energy System) is complicated because of
the complexity of system topology and dynamics and different kinds of uncertainties …
the complexity of system topology and dynamics and different kinds of uncertainties …
Open-circuit faults diagnosis and fault-tolerant control scheme based on sliding-mode observer for DFIG back-to-back converters: Wind turbine applications
One of the most common types of wind turbines is the Doubly-Fed Induction Generator with
a back-to-back converter. The Insulated Gate Bipolar Transistor switch's open-circuit fault …
a back-to-back converter. The Insulated Gate Bipolar Transistor switch's open-circuit fault …
A new hybrid fault diagnosis method for wind energy converters
J Liang, K Zhang - Electronics, 2023 - mdpi.com
Fault diagnostic techniques can reduce the requirements for the experience of maintenance
crews, accelerate maintenance speed, reduce maintenance cost, and increase electric …
crews, accelerate maintenance speed, reduce maintenance cost, and increase electric …