A systematic literature review of machine learning methods applied to predictive maintenance
TP Carvalho, FA Soares, R Vita, RP Francisco… - Computers & Industrial …, 2019 - Elsevier
The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …
the proliferation of sensing technologies. When processed and analyzed, data can bring out …
Prognostics and health management: A review from the perspectives of design, development and decision
Prognostics and health management (PHM) is an enabling technology used to maintain the
reliable, efficient, economic and safe operation of engineering equipment, systems and …
reliable, efficient, economic and safe operation of engineering equipment, systems and …
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization
Mass personalization is becoming a reality. It requires responsive and flexible
manufacturing operations for producing individualized products in dynamic batch sizes at …
manufacturing operations for producing individualized products in dynamic batch sizes at …
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model
In practical engineering, accurate prediction of remaining useful life (RUL) is always
necessary for effective preparation of engineering assets, human resources and …
necessary for effective preparation of engineering assets, human resources and …
Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization
Abstract A novel Reinforcement Learning (RL) driven maintenance strategy is proposed in
this paper for solving the problem of aircraft long-term maintenance decision optimization …
this paper for solving the problem of aircraft long-term maintenance decision optimization …
Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions
N Ding, H Li, Q Xin, B Wu, D Jiang - Reliability Engineering & System Safety, 2023 - Elsevier
Degradation detection and remaining useful life (RUL) prediction are the essential tasks of
Prognostics and Health Management (PHM) designed to increase the reliability of key …
Prognostics and Health Management (PHM) designed to increase the reliability of key …
Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm
With the increasing complexity of industrial equipment, it is urgent to provide timely
diagnosis and accurate evaluation to avoid failure. For rolling bearings, it is important to …
diagnosis and accurate evaluation to avoid failure. For rolling bearings, it is important to …
Energy-oriented joint optimization of machine maintenance and tool replacement in sustainable manufacturing
With the increasing attention on sustainable manufacturing, operation and maintenance
(O&M) management focuses on not only budget limit, but also energy saving. For modern …
(O&M) management focuses on not only budget limit, but also energy saving. For modern …
A novel fault detection, identification and prediction approach for autonomous vehicle controllers using SVM
L Biddle, S Fallah - Automotive Innovation, 2021 - Springer
Faults that develop in vehicle sensors have the potential to propagate unchecked
throughout control systems if undetected. Automatic fault diagnosis and health monitoring …
throughout control systems if undetected. Automatic fault diagnosis and health monitoring …
An empirical study of the human error-related factors leading to site accidents in the Iranian urban construction industry
Human errors are one of the major causes of accidents in the construction industry. Human
errors can be caused by various factors across diverse types of projects. Hence, this …
errors can be caused by various factors across diverse types of projects. Hence, this …