Big data for modern industry: challenges and trends [point of view]

S Yin, O Kaynak - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
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 …

Internet of things for disaster management: State-of-the-art and prospects

PP Ray, M Mukherjee, L Shu - IEEE access, 2017 - ieeexplore.ieee.org
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 …

A new convolutional neural network-based data-driven fault diagnosis method

L Wen, X Li, L Gao, Y Zhang - IEEE transactions on industrial …, 2017 - ieeexplore.ieee.org
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 …

NB-CNN: Deep learning-based crack detection using convolutional neural network and Naïve Bayes data fusion

FC Chen, MR Jahanshahi - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …

[КНИГА][B] Adaptive dynamic programming with applications in optimal control

D Liu, Q Wei, D Wang, X Yang, H Li - 2017 - Springer
With the rapid development in information science and technology, many businesses and
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

X Hu, J Jiang, D Cao, B Egardt - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
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 …

A robust observer-based sensor fault-tolerant control for PMSM in electric vehicles

SK Kommuri, M Defoort, HR Karimi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

A review on recent development of spacecraft attitude fault tolerant control system

S Yin, B **ao, SX Ding, D Zhou - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

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 …

Real-time wireless sensor-actuator networks for industrial cyber-physical systems

C Lu, A Saifullah, B Li, M Sha, H Gonzalez… - Proceedings of the …, 2015 - ieeexplore.ieee.org
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 …