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Big data for modern industry: challenges and trends [point of view]
We are living in an era of data deluge and as a result, the term``big data''is appearing in
many contexts, from meteorology, genomics, complex physics simulations, biological and …
many contexts, from meteorology, genomics, complex physics simulations, biological and …
Internet of things for disaster management: State-of-the-art and prospects
Disastrous events are cordially involved with the momentum of nature. As such mishaps
have been showing off own mastery, situations have gone beyond the control of human …
have been showing off own mastery, situations have gone beyond the control of human …
A new convolutional neural network-based data-driven fault diagnosis method
Fault diagnosis is vital in manufacturing system, since early detections on the emerging
problem can save invaluable time and cost. With the development of smart manufacturing …
problem can save invaluable time and cost. With the development of smart manufacturing …
NB-CNN: Deep learning-based crack detection using convolutional neural network and Naïve Bayes data fusion
Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …
operations. However, current practice is time consuming, tedious, and subjective, which …
[КНИГА][B] Adaptive dynamic programming with applications in optimal control
With the rapid development in information science and technology, many businesses and
industries have undergone great changes, such as chemical industry, electric power …
industries have undergone great changes, such as chemical industry, electric power …
Battery health prognosis for electric vehicles using sample entropy and sparse Bayesian predictive modeling
Battery health monitoring and management is of extreme importance for the performance
and cost of electric vehicles. This paper is concerned with machine-learning-enabled battery …
and cost of electric vehicles. This paper is concerned with machine-learning-enabled battery …
A robust observer-based sensor fault-tolerant control for PMSM in electric vehicles
This paper investigates the problem of automatic speed tracking control of an electric vehicle
(EV) that is powered by a permanent-magnet synchronous motor (PMSM). A reconfiguration …
(EV) that is powered by a permanent-magnet synchronous motor (PMSM). A reconfiguration …
A review on recent development of spacecraft attitude fault tolerant control system
Motivated by several accidents, attitude control of a spacecraft subject to faults/failures has
gained considerable attention in a wider range of aerospace engineering and academic …
gained considerable attention in a wider range of aerospace engineering and academic …
Data-driven digital twin technology for optimized control in process systems
R He, G Chen, C Dong, S Sun, X Shen - ISA transactions, 2019 - Elsevier
Due to the installation of various apparatus in process industries, both factors of complex
structures and severe operating conditions could result in higher accident frequencies and …
structures and severe operating conditions could result in higher accident frequencies and …
Real-time wireless sensor-actuator networks for industrial cyber-physical systems
With recent adoption of wireless sensor-actuator networks (WSANs) in industrial automation,
industrial wireless control systems have emerged as a frontier of cyber-physical systems …
industrial wireless control systems have emerged as a frontier of cyber-physical systems …