Artificial intelligence in advanced manufacturing: Current status and future outlook
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
[PDF][PDF] 基于机器学习的设备剩余寿命预测方法综述
裴洪， 胡昌华， 司小胜， 张建勋， 庞哲楠， 张鹏 - 机械工程学报, 2019 - qikan.cmes.org
随着科学技术的发展和生产工艺的进步, 当代设备日益朝着大型化, 复杂化,
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …
Remaining useful life estimation in prognostics using deep convolution neural networks
Traditionally, system prognostics and health management (PHM) depends on sufficient prior
knowledge of critical components degradation process in order to predict the remaining …
knowledge of critical components degradation process in order to predict the remaining …
Deep learning for smart manufacturing: Methods and applications
Smart manufacturing refers to using advanced data analytics to complement physical
science for improving system performance and decision making. With the widespread …
science for improving system performance and decision making. With the widespread …
Dual-aspect self-attention based on transformer for remaining useful life prediction
Z Zhang, W Song, Q Li - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction is one of the key technologies of condition-based
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
Accurate evaluation of machine degradation during long-time operation is of great
importance. With the rapid development of modern industries, physical model is becoming …
importance. With the rapid development of modern industries, physical model is becoming …
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
Abstract Remaining Useful Life (RUL) estimation is a fundamental task in the prognostic and
health management (PHM) of industrial equipment and systems. To this end, we propose a …
health management (PHM) of industrial equipment and systems. To this end, we propose a …
A novel deep learning method based on attention mechanism for bearing remaining useful life prediction
Rolling bearing is a key component in rotation machine, whose remaining useful life (RUL)
prediction is an essential issue of constructing condition-based maintenance (CBM) system …
prediction is an essential issue of constructing condition-based maintenance (CBM) system …
A recurrent neural network based health indicator for remaining useful life prediction of bearings
In data-driven prognostic methods, prediction accuracy of bearing remaining useful life
(RUL) mainly depends on the performance of bearing health indicators, which are usually …
(RUL) mainly depends on the performance of bearing health indicators, which are usually …