Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …

In recent years, the enormous demand for computing resources resulting from massive data
and complex network models has become the limitation of deep learning. In the large-scale …

The sparse representation methodology has been identified to be a promising tool for
gearbox fault diagnosis. The core is how to precisely reconstruct the fault signal from noisy …

Dynamic strain measurement is critical in blade vibration monitoring for evaluating the
residual life and health condition of rotating blades. Blade tip time (BTT) is recognized as a …

Moving force identification (MFI) from dynamic responses of bridges is a typical inverse
problem in the field of structural dynamics. To deal with the difficulties in identifying multi …

Abstract Blade Tip Timing (BTT) method is increasingly implemented for rotating blade
health monitoring for its non-contact property. However, the BTT data is usually highly …

Random load identification (including load localization and reconstruction) plays a great
significance in structural optimization design and safety evaluation. However, conventional …

Dynamic load identification is often required in engineering to understand and ensure
structural integrity and reliability. However, ill-posedness is one of the main challenges to …

Blade tip timing (BTT) technique has become a promising way of online damage diagnosis
for compressor and turbine blades by monitoring their vibrations. However, there are some …

Many convex regularization methods, such as the classical Tikhonov regularization based
on l 2-norm penalty and the standard sparse regularization method based on l 1-norm …