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

Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

Bearing faults are one of the most common inducements for machine failures. Therefore, it is
very important to perform bearing fault diagnosis reliably and rapidly. However, it is …

In this paper, a novel impact load identification method of nonlinear structures by using deep
Recurrent Neural Network (RNN) is proposed. The deep RNN model, mainly consisting of …

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

Time-varying mesh stiffness (TVMS), one of the most important parameters in gear
dynamics, is usually used to analyze the influence of gear fault in gear transmission …

Moving force identification (MFI) is an important inverse problem in the field of bridge
structural health monitoring (SHM). Reasonable signal structures of moving forces are rarely …

Expansion of real-time operating data from limited measurements to obtain full-field
displacement data has been performed for structures in air. This approach has shown great …

When integrating a dynamometer into a machining system, it is necessary to identify the
dynamic relationship between the effective input forces and the measured output signals (ie …

The standard sparse regularization method based on l 1-norm minimization for impact force
identification has already proved to be an interesting alternative to the classical …