Predictive maintenance is a field of study whose main objective is to optimize the timing and type of maintenance to perform on various industrial systems. This aim involves maximizing …
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 …
The availability of computational power in the domain of Prognostics and Health Management (PHM) with deep learning (DL) applications has attracted researchers …
D Pagano - Decision Analytics Journal, 2023 - Elsevier
The fourth industrial revolution is a profound transformation utilizing emerging technologies like smart automation, large-scale machine-to-machine communication, and the internet of …
DC Sanakkayala, V Varadarajan, N Kumar, Karan… - Micromachines, 2022 - mdpi.com
Predicting bearing failures is a vital component of machine health monitoring since bearings are essential parts of rotary machines, particularly large motor machines. In addition …
The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to …
H Li, Z Wang, Z Li - PeerJ Computer Science, 2022 - peerj.com
Remaining useful life (RUL) prediction is one of the key technologies of aircraft prognosis and health management (PHM) which could provide better maintenance decisions. In order …
L Wang, D Tang, C Liu, Q Nie, Z Wang, L Zhang - Sensors, 2022 - mdpi.com
With increasingly advanced Internet of Things (IoT) technology, the composition of workshop equipment has become more and more complex. Based on this, the rate of system …
The multisource information fusion technique is currently one of the common methods for rolling bearing fault diagnosis. However, the current research rarely fuses information from …