102 citations · 108 across the 7 of their papers we have counts for
7 papers
pyHB: an open-source automatic-differentiation-enhanced semi-analytical solver for nonlinear dynamics
Yuhong Jin, Qi Liu, Lei Hou +4
The Harmonic Balance (HB) method is widely used to compute and analyze the periodic responses of nonlinear systems. However, its application to high-dimensional complex systems is…
Harmonic balance-automatic differentiation method: an out-of-the-box and efficient solver for general nonlinear dynamics simulation
Yi Chen, Yuhong Jin, Rongzhou Lin +6
The Harmonic Balance-Alternating Frequency-Time domain (HB-AFT) method is extensively employed for dynamic response analysis of nonlinear systems. However, its application to high-…
A modified Newmark/Newton-Raphson method with automatic differentiation for general nonlinear dynamics analysis
Yifan Jiang, Yuhong Jin, Lei Hou +2
The Newmark/Newton-Raphson (NNR) method is widely employed for solving nonlinear dynamic systems. However, the current NNR method exhibits limited applicability in complex nonlinea…
Invertible Koopman neural operator for data-driven modeling of partial differential equations
Yuhong Jin, Andong Cong, Lei Hou +5
Koopman operator theory is a popular candidate for data-driven modeling because it provides a global linearization representation for nonlinear dynamical systems. However, existing…
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
Haiming Yi, Lei Hou, Yuhong Jin +3
Diffusion models have demonstrated powerful data generation capabilities in various research fields such as image generation. However, in the field of vibration signal generation,…
A Wavelet Transform and self-supervised learning-based framework for bearing fault diagnosis with limited labeled data
Yuhong Jin, Lei Hou, Ming Du +1
Traditional supervised bearing fault diagnosis methods rely on massive labelled data, yet annotations may be very time-consuming or infeasible. The fault diagnosis approach that ut…
A new rotating machinery fault diagnosis method based on the Time Series Transformer
Yuhong Jin, Lei Hou, Yushu Chen
Fault diagnosis of rotating machinery is an important engineering problem. In recent years, fault diagnosis methods based on the Convolutional Neural Network (CNN) and Recurrent Ne…