In practical engineering applications, the multivariate signal contains more fault feature
information than the single-channel signal. How to realize synchronous extraction of fault …

In motor drive system, Bearing fault detection through motor current signal (MCS) analysis
has gained recognition for its cost-effectiveness and non-invasive nature. However, two …

Sensors are difficult to arrange inside complex aero-engine systems because of harsh
operating environment. Aero-engine thermodynamic models can be used as virtual sensors …

Variational mode decomposition (VMD) gained popularity due to its excellent performance
in rolling bearing fault diagnosis. To obtain accurate diagnosis results depending on proper …

Because of the operating environment and load, the main fault form of flywheel bearing is
the friction fault between the cage and the rolling elements, which often lead to an increase …

To address the difficulty in extracting the characteristics of combined failure of rolling
bearings, a novel fault identification method, one-dimensional mixed binary pattern (1D …

Extracting fault feature is a key challenge during the early failure stage of bearings due to
weak fault components and strong background noises. To solve this problem, an extension …

Online fault detection through continuous vibration monitoring is crucial to prevent
potentially catastrophic accidents throughout the service life of bearings. However, the high …

To enhance the applicability of dynamic mode decomposition with time-delay embedding
(DMD-TD) and reduce its computational complexity and memory requirements, a new …

With the development of industrial intelligence, data-driven fault diagnosis plays an
important role in prognostics and health management. However, there is usually a large …