[PDF][PDF] A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
Prognostics and health management of industrial assets: Current progress and road ahead
L Biggio, I Kastanis - Frontiers in Artificial Intelligence, 2020 - frontiersin.org
Prognostic and Health Management (PHM) systems are some of the main protagonists of
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …
the Industry 4.0 revolution. Efficiently detecting whether an industrial component has …
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
The prediction of aero-engine remaining useful life (RUL) is helpful for its operation and
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
Artificial intelligence in prognostics and health management of engineering systems
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 …
A review on prognostics methods for engineering systems
Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …
health assessment and prognostics have been extensively investigated in the literature …
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 …
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
Anomaly monitoring improves remaining useful life estimation of industrial machinery
Estimating remaining useful life (RUL) of industrial machinery based on their degradation
data is very critical for various industries. Machine learning models are powerful and very …
data is very critical for various industries. Machine learning models are powerful and very …
An improved generic hybrid prognostic method for RUL prediction based on PF-LSTM learning
K Xue, J Yang, M Yang, D Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …
Explainable AI for bearing fault prognosis using deep learning techniques
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 …
are essential parts of rotary machines, particularly large motor machines. In addition …
A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction
Data-driven methods based on health indicators (HIs) have been proven effective for
remaining useful life (RUL) prediction. Significant differences may exist among HI …
remaining useful life (RUL) prediction. Significant differences may exist among HI …