Prognostics and health management (PHM) plays a constructive role in the equipment's
entire life health service. It has long benefited from intensive research into physics modeling …

This paper proposes a new model, called rotor finite element mimetic neural network
(RFEMNN), for diagnosing rotor unbalance and shaft crack faults. RFEMNN uses a …

With the recent success of representation learning methods, which includes deep learning
as a special case, there has been considerable interest in develo** techniques that …

Sound field reconstruction aims to estimate pressure fields in areas lacking direct
measurements. Existing techniques often rely on strong assumptions or face challenges …

This paper studies the extraction of the frequency-wavenumber dispersion relations (or
dispersion curves) of guided Lamb waves from a non-homogeneous medium using wave …

Recent advancements in physics-informed machine learning have contributed to solving
partial differential equations through means of a neural network. Following this, several …

The capability of sparse regression with Least Absolute Shrinkage and Selection Operator
(LASSO) in modal identification of a simple system and predicting system response is …

Ultrasonic guided waves enable us to monitor large regions of a structure at one time.
Characterizing damage through reflection-based and tomography-based analysis or by …