Machine learning for fault diagnosis of high-speed train traction systems: A review
High-speed trains (HSTs) have the advantages of comfort, efficiency, and convenience and
have gradually become the mainstream means of transportation. As the operating scale of …
have gradually become the mainstream means of transportation. As the operating scale of …
A state of the art in digital twin for intelligent fault diagnosis
C Hu, Z Zhang, C Li, M Leng, Z Wang, X Wan… - Advanced Engineering …, 2025 - Elsevier
The intelligent manufacturing and digital technologies have rapidly advanced with the
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …
advent of the industry 4.0 era, placing higher demands on the stability, reliability, and safety …
A fault-tolerant cascaded switched-capacitor multilevel inverter for domestic applications in smart grids
Cascaded multilevel inverters (MLIs) generate an output voltage using series-connected
power modules that employ standard configurations of low-voltage components. Each …
power modules that employ standard configurations of low-voltage components. Each …
A machine learning modeling framework for predictive maintenance based on equipment load cycle: An application in a real world case
ARA Vallim Filho, D Farina Moraes… - Energies, 2022 - mdpi.com
From a practical point of view, a turbine load cycle (TLC) is defined as the time a turbine in a
power plant remains in operation. TLC is used by many electric power plants as a stop …
power plant remains in operation. TLC is used by many electric power plants as a stop …
Reliability, availability, and condition monitoring of inverters of grid‐connected solar photovoltaic systems
Abstract Reliability, Availability and Condition Monitoring (RACM) evaluation has become a
critical area of interest for researchers as the output power quality of a Photo‐Voltaic (PV) …
critical area of interest for researchers as the output power quality of a Photo‐Voltaic (PV) …
T-type inverter fault diagnosis based on GASF and improved AlexNet
Y Cui, R Wang, Y Si, S Zhang, Y Wang, A Lin - Energy Reports, 2023 - Elsevier
Aiming at the problems of high similarity of T-type inverter open-circuit fault features,
cumbersome manual extraction of fault features, and the inability of one-dimensional …
cumbersome manual extraction of fault features, and the inability of one-dimensional …
Performance assessment of VSC-based HVDC system in asynchronous grid interconnection: Offline and real-time validation of control design with symmetric optimum …
Asynchronous interconnection is essential for integrating AC networks operating at different
frequencies, typically 50 Hz and 60 Hz. This need arises from distributed power generation …
frequencies, typically 50 Hz and 60 Hz. This need arises from distributed power generation …
Research on fault diagnosis of six-phase propulsion motor drive inverter for marine electric propulsion system based on Res-BiLSTM
J Xie, W Shi, Y Shi - Machines, 2022 - mdpi.com
To ensure the implementation of the marine electric propulsion self-healing strategy after
faults, it is necessary to diagnose and accurately classify the faults. Considering the …
faults, it is necessary to diagnose and accurately classify the faults. Considering the …
Induction Machine Emulation For Open Circuit and Short Circuit Grid Faults
G Tanuku, P Pillay - IEEE Transactions on Energy Conversion, 2022 - ieeexplore.ieee.org
The focus of the present research work is to develop a robust induction machine emulator.
The emulator can be used to test different types of open circuit and short circuit grid faults …
The emulator can be used to test different types of open circuit and short circuit grid faults …
Currents Analysis of a Brushless Motor with Inverter Faults—Part I: Parameters of Entropy Functions and Open-Circuit Faults Detection
In the field of signal processing, it is interesting to explore signal irregularities. Indeed,
entropy approaches are efficient to quantify the complexity of a time series; their ability to …
entropy approaches are efficient to quantify the complexity of a time series; their ability to …