A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
Fault detection and diagnosis of air brake system: A systematic review
The air brake system is critical for the proper functioning heavy commercial vehicles, and
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …
A federated transfer learning method with low-quality knowledge filtering and dynamic model aggregation for rolling bearing fault diagnosis
Intelligent mechanical fault diagnosis techniques have been extensively developed in recent
years. Owing to the advantage of data privacy protection, federated learning has recently …
years. Owing to the advantage of data privacy protection, federated learning has recently …
Optimization of electric vehicle sound package based on LSTM with an adaptive learning rate forest and multiple-level multiple-object method
H Huang, X Huang, W Ding, S Zhang, J Pang - Mechanical Systems and …, 2023 - Elsevier
The sound absorption and sound insulation performance of an acoustic package (AP)
system directly affect the noise, vibration and harshness performance of a vehicle …
system directly affect the noise, vibration and harshness performance of a vehicle …
Analysis of friction-induced vibration and wear characteristics during high-speed train friction braking process
Q Zhang, Z Yu, H Liu, J Mo, Z **ang, S Zhu, W ** - Tribology International, 2024 - Elsevier
This study explored the evolution of friction-induced vibration (FIV) and wear in high-speed
train friction braking through experiments, theoretical analysis, and numerical simulation …
train friction braking through experiments, theoretical analysis, and numerical simulation …
[PDF][PDF] 人工神经网络模型发展及应用综述
张驰， 郭媛， 黎明 - 计算机工程与应用, 2021 - mool.njfu.edu.cn
人工神经网络与其他学科领域联系日益紧密, 人们通过对人工神经网络层结构的探索和改进来
解决各个领域的问题. 根据人工神经网络相关文献进行分析, 综述了人工神经网络算法以及网络 …
解决各个领域的问题. 根据人工神经网络相关文献进行分析, 综述了人工神经网络算法以及网络 …
Brake uneven wear of high-speed train intelligent monitoring using an ensemble model based on multi-sensor feature fusion and deep learning
Uneven wear is an inevitable wear phenomenon in the braking system of high-speed trains.
To avoid the hidden dangers of the aggravation of uneven wear to the safe operation of …
To avoid the hidden dangers of the aggravation of uneven wear to the safe operation of …
The effect of the friction block installation direction on the tribological behavior and vibrational response of the high-speed train brake interface
In this study, to investigate the effect of the hexagon friction block installation direction on the
surface tribology and friction-induced vibration and noise (FIVN), tribological tests were …
surface tribology and friction-induced vibration and noise (FIVN), tribological tests were …
Operational transfer path analysis based on neural network
U Park, YJ Kang - Journal of Sound and Vibration, 2024 - Elsevier
Noise, vibration, and harshness (NVH) issues induced by vibrating source to receivers are
sensitive concerns in the automotive industry, significantly determining the product quality …
sensitive concerns in the automotive industry, significantly determining the product quality …
Modification of friction block connection for improving the tribological behavior of high-speed train braking interface
J Zhang, Q Zhang, Z **ang, S **e, J Mo, D He - Engineering Failure …, 2024 - Elsevier
This work aims to improve interface tribological behavior by modifying the friction block
connection. The effectiveness of this approach and its underlying mechanisms are …
connection. The effectiveness of this approach and its underlying mechanisms are …