Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …
challenges such as complex degradation processes, varying working conditions, and …
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …
increasingly significant to ensure safe equipment operation and production. Consequently …
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Remaining useful life (RUL) prediction has been a hotspot in the engineering field, which is
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
Physics-Informed LSTM hyperparameters selection for gearbox fault detection
A situation often encountered in the condition monitoring (CM) and health management of
gearboxes is that a large volume of CM data (eg, vibration signal) collected from a healthy …
gearboxes is that a large volume of CM data (eg, vibration signal) collected from a healthy …
A survey of learning-based intelligent optimization algorithms
W Li, GG Wang, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
Elephant herding optimization: variants, hybrids, and applications
Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …
Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
prognosis, and health management, occupies an increasingly important position in reducing …
Artificial intelligence in prognostics and health management of engineering systems
S Ochella, M Shafiee, F Dinmohammadi - Engineering Applications of …, 2022 - Elsevier
Prognostics and health management (PHM) has become a crucial aspect of the
management of engineering systems and structures, where sensor hardware and decision …
management of engineering systems and structures, where sensor hardware and decision …
Predicting remaining useful life of rolling bearings based on deep feature representation and transfer learning
For the data-driven remaining useful life (RUL) prediction for rolling bearings, the traditional
machine learning-based methods generally provide insufficient feature representation and …
machine learning-based methods generally provide insufficient feature representation and …