A force reconstruction method for uncertain structures instead of direct measurement is
proposed in this paper. Considering the multi-source uncertainties as unknown-but …

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 …

Instead of traditional Tikhonov regularization, sparse regularization methods like ℓ 1
regularization have been a popular choice for impact force identification because it can …

Abstract Blade Tip Timing (BTT), an emerging technology poised to replace strain gauges,
enables contactless measurement of rotor blade vibration. However, the blade vibration …

Although extensively studied, impact force identification is still a challenging task. When the
location of the impact force is unknown, an under-determined problem is usually required to …

Rotor blade health monitoring based on the non-contact blade tip timing (BTT) technique
has already been proved to be an alternative method to the classical contact strain …

Measurement of cutting force is important for in-process monitoring, control and optimization.
However, it is very difficult to measure the cutting force directly using invasive sensor in …

Dynamic strain of rotating blades is critical in turbomachinery health monitoring and residual
life evaluation. Though the blade tip timing (BTT) technique is promising to replace …

Compressed sensing can effectively relieve the burden of data storage and transmission for
mechanical condition monitoring. However, feature reconstruction from compressed …

Based on augmented Tikhonov regularization (ATR) method and matrix perturbation
method, a new computational inverse method is proposed to reconstruct impact loads acting …