Fault management in DC microgrids: A review of challenges, countermeasures, and future research trends
The significant benefits of DC microgrids have instigated extensive efforts to be an
alternative network as compared to conventional AC power networks. Although their …
alternative network as compared to conventional AC power networks. Although their …
Review on fault‐diagnosis and fault‐tolerance for DC–DC converters
The DC–DC converters operate extensively in a variety of industrial applications such as
electric vehicles, renewable energy systems, aerospace applications, consumer electronics …
electric vehicles, renewable energy systems, aerospace applications, consumer electronics …
A digital twin approach for fault diagnosis in distributed photovoltaic systems
Rooftop and building-integrated distributed photovoltaic (PV) systems are emerging as key
technologies for smart building applications. This paper presents the design methodology …
technologies for smart building applications. This paper presents the design methodology …
On the implementation of IoT-based digital twin for networked microgrids resiliency against cyber attacks
The increased rate of cyber-attacks on the power system necessitates the need for
innovative solutions to ensure its resiliency. This work builds on the advancement in the IoT …
innovative solutions to ensure its resiliency. This work builds on the advancement in the IoT …
Wind turbine fault diagnosis based on ReliefF-PCA and DNN
X Wen, Z Xu - Expert Systems with Applications, 2021 - Elsevier
A large amount of data would be generated during the operation of wind turbine (WT), which
is easy to cause dimensional disaster, and if more than one WT fault occur, multiple sensors …
is easy to cause dimensional disaster, and if more than one WT fault occur, multiple sensors …
IoT-based digital twin for energy cyber-physical systems: design and implementation
With the emergence of distributed energy resources (DERs), with their associated
communication and control complexities, there is a need for an efficient platform that can …
communication and control complexities, there is a need for an efficient platform that can …
Robust open-circuit fault diagnosis for PMSM drives using wavelet convolutional neural network with small samples of normalized current vector trajectory graph
J Hang, X Shu, S Ding, Y Huang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Open-circuit fault is one of the most common faults in permanent-magnet synchronous
machine (PMSM) drives. The open-circuit fault can cause the obvious change of stator …
machine (PMSM) drives. The open-circuit fault can cause the obvious change of stator …
A data-driven-based fault diagnosis approach for electrical power DC-DC inverter by using modified convolutional neural network with global average pooling and 2 …
W Gong, H Chen, Z Zhang, M Zhang, H Gao - Ieee Access, 2020 - ieeexplore.ieee.org
A novel convolutional neural network namely the modified CNN-GAP model is proposed for
fast fault diagnosis of the DC-DC inverter. This method improves the model structure of the …
fast fault diagnosis of the DC-DC inverter. This method improves the model structure of the …
A transferrable data-driven method for IGBT open-circuit fault diagnosis in three-phase inverters
Machine learning (ML) based data-driven methods have shown promising performance in
power converter fault diagnosis. However, the existing ML model trained by one fault …
power converter fault diagnosis. However, the existing ML model trained by one fault …
Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation
XJ Zeng, M Yang, YF Bo - International Journal of Electrical Power & …, 2020 - Elsevier
Wind turbine (WT) condition monitoring and anomaly detection based on Supervisory
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …