A comprehensive review on convolutional neural network in machine fault diagnosis

J Jiao, M Zhao, J Lin, K Liang - Neurocomputing, 2020 - Elsevier
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

B Rezaeianjouybari, Y Shang - Measurement, 2020 - Elsevier
Improving the reliability of engineered systems is a crucial problem in many applications in
various engineering fields, such as aerospace, nuclear energy, and water declination …

Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review

Z Zhao, J Wu, T Li, C Sun, R Yan, X Chen - Chinese Journal of Mechanical …, 2021 - Springer
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
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 …

A new multi-data-driven spatiotemporal PM2. 5 forecasting model based on an ensemble graph reinforcement learning convolutional network

X Liu, M Qin, Y He, X Mi, C Yu - Atmospheric Pollution Research, 2021 - Elsevier
Spatiotemporal PM2. 5 forecasting technology plays an important role in urban traffic
environment management and planning. In order to establish a satisfactory high-precision …

Artificial intelligence-based data-driven prognostics in industry: A survey

MA El-Brawany, DA Ibrahim, HK Elminir… - Computers & Industrial …, 2023 - Elsevier
In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …

Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis–a review

A Althubaiti, F Elasha… - Journal of …, 2022 - pureportal.coventry.ac.uk
There is an ever-increasing need to optimise bearing lifetime and maintenance cost through
detecting faults at earlier stages. This can be achieved through improving diagnosis and …

A machine-learning based data-oriented pipeline for prognosis and health management systems

MLH Souza, CA da Costa, G de Oliveira Ramos - Computers in Industry, 2023 - Elsevier
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …

A cumulative descriptor enhanced ensemble deep neural networks method for remaining useful life prediction of cutting tools

X Mo, T Wang, Y Zhang, X Hu - Advanced Engineering Informatics, 2023 - Elsevier
Prognostics and health management (PHM) of turbine cutting tools, particularly the
remaining useful life (RUL) prediction is a Gordian technique to maintain the reliability and …

Multiscale attentional residual neural network framework for remaining useful life prediction of bearings

W Yu, D Pi, L Xie, Y Luo - Measurement, 2021 - Elsevier
Traditional deep learning methods do not effectively extract degradation features from
vibration signals widely used for remaining useful life (RUL) prediction while avoiding the …