An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
IoT-enabled fault prediction and maintenance for smart charging piles
H Dui, X Dong, L Chen, Y Wang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the application of the Internet of Things (IoT), smart charging piles, which are important
facilities for new energy electric vehicles (NEVs), have become an important part of the …
facilities for new energy electric vehicles (NEVs), have become an important part of the …
Stewart: Stacking ensemble for white-box adversarial attacks towards more resilient data-driven predictive maintenance
Abstract Industrial Internet of Things (I-IoT) is a network of devices that focus on monitoring
industrial assets and continuously collecting data. This data can be utilized by Machine …
industrial assets and continuously collecting data. This data can be utilized by Machine …
Optimal feature selection on Serial Cascaded deep learning for predictive maintenance system in automotive industry with fused optimization algorithm
Abstract Machines can make an appropriate operating and maintenance choice when
defects are accurately and promptly predicted. Researchers choose data-driven predictive …
defects are accurately and promptly predicted. Researchers choose data-driven predictive …
Charging stations and electromobility development: a cross-country comparative analysis
The Industry 4.0 idea influences the development of both charging stations and
electromobility development, due to its emphasis on device communication, cooperation …
electromobility development, due to its emphasis on device communication, cooperation …
A data-driven construction method of aggregated value chain in three phases for manufacturing enterprises
Under the dual influence of dual-carbon policies and the complex international situation,
manufacturing enterprises urgently need to build digital value chain ecosystems to adapt to …
manufacturing enterprises urgently need to build digital value chain ecosystems to adapt to …
Predictive maintenance scheduling for aircraft engines based on remaining useful life prediction
This paper presents a novel data-driven predictive maintenance scheduling framework for
aircraft engines based on remaining useful life (RUL) prediction. First, a deep learning …
aircraft engines based on remaining useful life (RUL) prediction. First, a deep learning …
[HTML][HTML] A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments
The integration of 5G and Beyond 5G (B5G)/6G in Machine-to-Machine (M2M)
communications, is making Industry 4.0 smarter. However, the goal of having a sustainable …
communications, is making Industry 4.0 smarter. However, the goal of having a sustainable …
A design of predictive manufacturing system in IoT‐assisted Industry 4.0 using heuristic‐derived deep learning
P Murugiah, A Muthuramalingam… - International Journal …, 2023 - Wiley Online Library
The predictive maintenance function is ensured with the earlier detection of errors and faults
in the machinery before reaching its critical stages. On the other hand, the challenges faced …
in the machinery before reaching its critical stages. On the other hand, the challenges faced …
A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning
G Zheng, Y Li, Z Zhou, R Yan - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction technology is a crucial task in prognostics and health
management (PHM) systems, as it contributes to the enhancement of the reliability of …
management (PHM) systems, as it contributes to the enhancement of the reliability of …