Smart manufacturing powered by recent technological advancements: A review
Smart manufacturing has attracted significant attention from both researchers and
manufacturing experts owing to its capability of accomplish the goals of Industry 4.0. It …
manufacturing experts owing to its capability of accomplish the goals of Industry 4.0. It …
[HTML][HTML] Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
Polymer electrolyte membrane (PEM) fuel cells are electrochemical devices that directly
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
A hybrid prognostics approach for estimating remaining useful life of rolling element bearings
Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …
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 …
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
Intelligent fault detection and diagnosis, as an important approach, play a crucial role in
ensuring the stable, reliable and safe operation of rolling bearings, which is one of the most …
ensuring the stable, reliable and safe operation of rolling bearings, which is one of the most …
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Z Pan, Z Meng, Z Chen, W Gao, Y Shi - Mechanical Systems and Signal …, 2020 - Elsevier
Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …
Deep separable convolutional network for remaining useful life prediction of machinery
Deep learning is gaining attention in data-driven remaining useful life (RUL) prediction of
machinery because of its powerful representation learning ability. With the help of deep …
machinery because of its powerful representation learning ability. With the help of deep …
[HTML][HTML] Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
Maintenance decisions in domains such as aeronautics are becoming increasingly
dependent on being able to predict the failure of components and systems. When data …
dependent on being able to predict the failure of components and systems. When data …
A model-based method for remaining useful life prediction of machinery
Remaining useful life (RUL) prediction allows for predictive maintenance of machinery, thus
reducing costly unscheduled maintenance. Therefore, RUL prediction of machinery appears …
reducing costly unscheduled maintenance. Therefore, RUL prediction of machinery appears …
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
H Cheng, X Kong, G Chen, Q Wang, R Wang - Measurement, 2021 - Elsevier
Remaining useful life (RUL) prediction has been a hotspot topic, which is useful to avoid
unexpected breakdowns and improve reliability. Different bearing failure behaviors caused …
unexpected breakdowns and improve reliability. Different bearing failure behaviors caused …