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Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …
faults (FDD) in traction systems have become an active issue in the transportation area over …
A review on prognostics and health management (PHM) methods of lithium-ion batteries
Batteries are prevalent energy providers for modern systems. They can also be regarded as
storage units for renewable and sustainable energy. Failures of batteries can bring huge …
storage units for renewable and sustainable energy. Failures of batteries can bring huge …
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …
building a new World in which the digital, physical and human dimensions are interrelated in …
Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN
The vibration signal of the axle box bearing of the train is affected by the track excitation and
the random noise of the environment. The vibration signal is nonlinear and non-stationary …
the random noise of the environment. The vibration signal is nonlinear and non-stationary …
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
Flywheel energy storage system is widely used in train braking energy recovery, and has
achieved excellent energy-saving effect. As a key component of the flywheel energy storage …
achieved excellent energy-saving effect. As a key component of the flywheel energy storage …
Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets
Safety is one of the key requirements for automated vehicles and fault diagnosis is an
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …
A review of fault detection and diagnosis for the traction system in high-speed trains
High-speed trains have become one of the most important and advanced branches of
intelligent transportation, of which the reliability and safety are still not mature enough for …
intelligent transportation, of which the reliability and safety are still not mature enough for …
A systematic review on imbalanced learning methods in intelligent fault diagnosis
The theoretical developments of data-driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …
achievements and significantly benefited industry practices. However, most methods are …
Cross-validation for imbalanced datasets: avoiding overoptimistic and overfitting approaches [research frontier]
Although cross-validation is a standard procedure for performance evaluation, its joint
application with oversampling remains an open question for researchers farther from the …
application with oversampling remains an open question for researchers farther from the …
A novel deeper one-dimensional CNN with residual learning for fault diagnosis of wheelset bearings in high-speed trains
The health condition of a wheelset bearing, the key component of a railway bogie, has a
considerable impact on the safety of a train. Traditional bearing fault diagnosis techniques …
considerable impact on the safety of a train. Traditional bearing fault diagnosis techniques …