Convolution neural network based particle filtering for remaining useful life prediction of rolling bearing
X Liu, G Chen, Z Cheng, X Wei… - Advances in …, 2022 - journals.sagepub.com
Aiming at the problem of remaining useful life prediction of rolling bearing in aero engine, a
data-driven prediction method based on deep learning and particle filter is proposed …
data-driven prediction method based on deep learning and particle filter is proposed …
Bayesian monitoring of substructures under unknown interface assumption
Abstract Structural Health Monitoring (SHM) enables assessing in-service structures'
performance by localizing structural anomaly instances immediately after their occurrence …
performance by localizing structural anomaly instances immediately after their occurrence …
A self-vibration-control tensegrity structure for space large-scale construction
Y Tang, T Li, Q Lv, X Wang - Mechanical Systems and Signal Processing, 2022 - Elsevier
Tensegrity is a very attractive structure due to its unique advantages of self-equilibrium,
lightweight, small compression volume, and low control cost. However, both the shape and …
lightweight, small compression volume, and low control cost. However, both the shape and …
A symplectic kinodynamic planning method for cable-driven tensegrity manipulators in a dynamic environment
Kinodynamic planning of tensegrity robots is a thorny problem, and there are few works that
have been reported on this subject, especially for tensegrity manipulators. In this study, a …
have been reported on this subject, especially for tensegrity manipulators. In this study, a …
Remaining useful life prediction with imprecise observations: An interval particle filtering approach
Particle Filtering (PF) has been widely used for predicting Remaining Useful Life (RUL) of
industrial products, especially for those with nonlinear degradation behavior and non …
industrial products, especially for those with nonlinear degradation behavior and non …
基于小波分析和卷积神经网络的滚动轴承早期故障告警方法
刘西洋， 陈果， 尉询楷， 刘曜宾， 王浩， 贺志远 - 航空动力学报, 2024 - jasp.com.cn
针对航空发动机主轴承状态监测中存在的真实故障样本难以获取, 变工况通用告警阈值难以界定
以及早期微弱故障难以识别问题, 提出一种滚动轴承早期故障通用告警方法 …
以及早期微弱故障难以识别问题, 提出一种滚动轴承早期故障通用告警方法 …
A rolling bearing fault evolution state indicator based on deep learning and its application
X Liu, G Chen, X Wei, Y Liu, H Wang - Journal of Mechanical Science and …, 2023 - Springer
Aiming at the limitation of early fault warning and the diagnosis of aero-engine main bearing
when there are only normal operation data, a rolling bearing fault evolution state indicator …
when there are only normal operation data, a rolling bearing fault evolution state indicator …
Damage localization and quantification of a truss bridge using PCA and convolutional neural network
Deep learning algorithms for Structural Health Monitoring (SHM) have been extracting the
interest of researchers and engineers. These algorithms commonly used loss functions and …
interest of researchers and engineers. These algorithms commonly used loss functions and …
Vibration control and robustness analysis of tensegrity structures via fuzzy dynamic sliding mode control method
F Xiaodong, W Xiaoyu, Z Shubin, L Hui, Z Yiwen - Structures, 2024 - Elsevier
This study addresses the problem of mitigating vibration responses in tensegrity structures
subjected to complex dynamic loading conditions. The overall purpose is to develop an …
subjected to complex dynamic loading conditions. The overall purpose is to develop an …
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health
Fatigue estimation for critical structures necessitates comprehensive monitoring, which, in
turn, requires dense instrumentation and models that heavily rely on computational …
turn, requires dense instrumentation and models that heavily rely on computational …