On predictive maintenance in industry 4.0: Overview, models, and challenges
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Recent years have witnessed prominent advances in predictive maintenance (PdM) for
complex industrial systems. However, the existing PdM literature predominately separates …
complex industrial systems. However, the existing PdM literature predominately separates …
[HTML][HTML] Deep reinforcement learning for predictive aircraft maintenance using probabilistic remaining-useful-life prognostics
The increasing availability of sensor monitoring data has stimulated the development of
Remaining-Useful-Life (RUL) prognostics and maintenance planning models. However …
Remaining-Useful-Life (RUL) prognostics and maintenance planning models. However …
An overview of the state of the art in aircraft prognostic and health management strategies
M Kordestani, ME Orchard… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aircraft are complex engineering systems composed of many interconnected subsystems
with possible uncertainties in their structure. They often function for a long number of flight …
with possible uncertainties in their structure. They often function for a long number of flight …
[HTML][HTML] Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
The increasing availability of condition-monitoring data for components/systems has
incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the …
incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the …
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models
Y Li, Y Chen, Z Hu, H Zhang - Reliability Engineering & System Safety, 2023 - Elsevier
The remaining useful life (RUL) prediction of a complex engineering system is extremely
significant for ensuring system reliability. The conventional prediction of the RUL based on …
significant for ensuring system reliability. The conventional prediction of the RUL based on …
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
Y Keshun, Q Guangqi, G Yingkui - Reliability Engineering & System Safety, 2024 - Elsevier
In this study, a deep learning-based probabilistic remaining useful life (RUL) prediction
model is proposed to improve the strong prior limitations of traditional probabilistic RUL …
model is proposed to improve the strong prior limitations of traditional probabilistic RUL …
[HTML][HTML] Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder
I de Pater, M Mitici - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract Most Remaining Useful Life (RUL) prognostics are obtained using supervised
learning models trained with many labelled data samples (ie, the true RUL is known). In …
learning models trained with many labelled data samples (ie, the true RUL is known). In …
Spatial correlation and temporal attention-based LSTM for remaining useful life prediction of turbofan engine
H Tian, L Yang, B Ju - Measurement, 2023 - Elsevier
Remaining useful life (RUL) prediction has always been a core task of prognostics and
health management technology, which is crucial to the reliable and safe operation of …
health management technology, which is crucial to the reliable and safe operation of …
A hybrid CNN-LSTM model for joint optimization of production and imperfect predictive maintenance planning
HD Shoorkand, M Nourelfath, A Hajji - Reliability Engineering & System …, 2024 - Elsevier
This paper deals with the problem of dynamically integrating tactical production planning
and predictive maintenance in the context of a rolling horizon approach. At the production …
and predictive maintenance in the context of a rolling horizon approach. At the production …