Industrial applications of digital twins
A digital twin (DT) is classically defined as the virtual replica of a real-world product, system,
being, communities, even cities that are continuously updated with data from its physical …
being, communities, even cities that are continuously updated with data from its physical …
A review of fault detection and diagnosis for the traction system in high-speed trains
H Chen, B Jiang - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
High-speed trains have become one of the most important and advanced branches of
intelligent transportation, of which the reliability and safety are still not mature enough for …
intelligent transportation, of which the reliability and safety are still not mature enough for …
Deep separable convolutional network for remaining useful life prediction of machinery
Deep learning is gaining attention in data-driven remaining useful life (RUL) prediction of
machinery because of its powerful representation learning ability. With the help of deep …
machinery because of its powerful representation learning ability. With the help of deep …
Prognostics and health management: A review of vibration based bearing and gear health indicators
Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …
health condition of engineering systems and their critical components. It mainly consists of …
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 …
The state-of-the-art on framework of vibration-based structural damage identification for decision making
Research on detecting structural damage at the earliest possible stage has been an
interesting topic for decades. Among them, the vibration-based damage detection method as …
interesting topic for decades. Among them, the vibration-based damage detection method as …
A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction
In recent years, prognostic and health management (PHM) has played an important role in
industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the …
industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the …
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 …
Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective
Transforming nonlinear degradation paths into nearly linear ones has been widely used for
nonlinear degradation modeling and prognostics. However, types of the current …
nonlinear degradation modeling and prognostics. However, types of the current …
A hybrid approach to cutting tool remaining useful life prediction based on the Wiener process
H Sun, D Cao, Z Zhao, X Kang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate remaining useful life prediction is meaningful for cutting tool usability evaluation.
Over the years, experience-based models, data-driven models, and physics-based models …
Over the years, experience-based models, data-driven models, and physics-based models …