Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Wireless sensor network survey
J Yick, B Mukherjee, D Ghosal - Computer networks, 2008 - Elsevier
A wireless sensor network (WSN) has important applications such as remote environmental
monitoring and target tracking. This has been enabled by the availability, particularly in …
monitoring and target tracking. This has been enabled by the availability, particularly in …
Machine learning for predictive maintenance: A multiple classifier approach
GA Susto, A Schirru, S Pampuri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, a multiple classifier machine learning (ML) methodology for predictive
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
Data management in industry 4.0: State of the art and open challenges
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …
manufacturing systems, expediting the generation of large volumes of industrial data. This …
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
In this paper we present X-MAC, a low power MAC protocol for wireless sensor networks
(WSNs). Standard MAC protocols developed for duty-cycled WSNs such as BMAC, which is …
(WSNs). Standard MAC protocols developed for duty-cycled WSNs such as BMAC, which is …
An industrial perspective on wireless sensor networks—A survey of requirements, protocols, and challenges
K Ovsthus, LM Kristensen - IEEE communications surveys & …, 2014 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are applicable in numerous domains, including industrial
automation where WSNs may be used for monitoring and control of industrial plants and …
automation where WSNs may be used for monitoring and control of industrial plants and …
Strategies and techniques for node placement in wireless sensor networks: A survey
The major challenge in designing wireless sensor networks (WSNs) is the support of the
functional, such as data latency, and the non-functional, such as data integrity, requirements …
functional, such as data latency, and the non-functional, such as data integrity, requirements …
Health monitoring of civil infrastructures using wireless sensor networks
A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed,
implemented, deployed and tested on the 4200ft long main span and the south tower of the …
implemented, deployed and tested on the 4200ft long main span and the south tower of the …
Pipeneta wireless sensor network for pipeline monitoring
US water utilities are faced with mounting operational and maintenance costs as a result of
aging pipeline infrastructures. Leaks and ruptures in water supply pipelines and blockages …
aging pipeline infrastructures. Leaks and ruptures in water supply pipelines and blockages …
Machine learning-based predictive maintenance: A cost-oriented model for implementation
E Florian, F Sgarbossa, I Zennaro - International Journal of Production …, 2021 - Elsevier
Abstract Predictive Maintenance (PdM) is a condition-based maintenance strategy (CBM)
that carries out maintenance action when needed, avoiding unnecessary preventive actions …
that carries out maintenance action when needed, avoiding unnecessary preventive actions …