The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Francesc Moll - One of the best experts on this subject based on the ideXlab platform.
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mechanical energy harvesting taxonomy for industrial environments application to the Railway Industry
IEEE Transactions on Intelligent Transportation Systems, 2020Co-Authors: Pablo Lopez Diez, Iosu Gabilondo, Eduard Alarcon, Francesc MollAbstract:Traditional Industry is experiencing a worldwide evolution with Industry 4.0. Wireless sensor networks (WSNs) have a main role in this evolution as an essential part of data acquisition. The way in which WSNs are powered is one of the main challenges to face if Industry wants to achieve the digital transformation. Energy harvesting technologies are one of the possible solutions to this challenge. The main purpose of this paper is to present a novel method to taxonomize knowledge in the field of mechanical energy harvesting to enhance the use of energy harvesting technologies in industrial applications. The methodology is based on the analysis of key parameters and performance metrics for existing technologies. The taxonomy is applied to rail axles in order to select the energy harvesting technology that is more appropriate for this specific location, demonstrating the potential of mechanical energy harvesting technologies (MEHTs) for the Railway Industry, as a use case of industrial environment. In addition, the taxonomy allows to identify the upcoming challenges for research purposes while analyzing the compatibility among mechanical energy harvesting technologies in order to create hybrid harvesters.
Pablo Lopez Diez - One of the best experts on this subject based on the ideXlab platform.
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mechanical energy harvesting taxonomy for industrial environments application to the Railway Industry
IEEE Transactions on Intelligent Transportation Systems, 2020Co-Authors: Pablo Lopez Diez, Iosu Gabilondo, Eduard Alarcon, Francesc MollAbstract:Traditional Industry is experiencing a worldwide evolution with Industry 4.0. Wireless sensor networks (WSNs) have a main role in this evolution as an essential part of data acquisition. The way in which WSNs are powered is one of the main challenges to face if Industry wants to achieve the digital transformation. Energy harvesting technologies are one of the possible solutions to this challenge. The main purpose of this paper is to present a novel method to taxonomize knowledge in the field of mechanical energy harvesting to enhance the use of energy harvesting technologies in industrial applications. The methodology is based on the analysis of key parameters and performance metrics for existing technologies. The taxonomy is applied to rail axles in order to select the energy harvesting technology that is more appropriate for this specific location, demonstrating the potential of mechanical energy harvesting technologies (MEHTs) for the Railway Industry, as a use case of industrial environment. In addition, the taxonomy allows to identify the upcoming challenges for research purposes while analyzing the compatibility among mechanical energy harvesting technologies in order to create hybrid harvesters.
Iosu Gabilondo - One of the best experts on this subject based on the ideXlab platform.
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mechanical energy harvesting taxonomy for industrial environments application to the Railway Industry
IEEE Transactions on Intelligent Transportation Systems, 2020Co-Authors: Pablo Lopez Diez, Iosu Gabilondo, Eduard Alarcon, Francesc MollAbstract:Traditional Industry is experiencing a worldwide evolution with Industry 4.0. Wireless sensor networks (WSNs) have a main role in this evolution as an essential part of data acquisition. The way in which WSNs are powered is one of the main challenges to face if Industry wants to achieve the digital transformation. Energy harvesting technologies are one of the possible solutions to this challenge. The main purpose of this paper is to present a novel method to taxonomize knowledge in the field of mechanical energy harvesting to enhance the use of energy harvesting technologies in industrial applications. The methodology is based on the analysis of key parameters and performance metrics for existing technologies. The taxonomy is applied to rail axles in order to select the energy harvesting technology that is more appropriate for this specific location, demonstrating the potential of mechanical energy harvesting technologies (MEHTs) for the Railway Industry, as a use case of industrial environment. In addition, the taxonomy allows to identify the upcoming challenges for research purposes while analyzing the compatibility among mechanical energy harvesting technologies in order to create hybrid harvesters.
Eduard Alarcon - One of the best experts on this subject based on the ideXlab platform.
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mechanical energy harvesting taxonomy for industrial environments application to the Railway Industry
IEEE Transactions on Intelligent Transportation Systems, 2020Co-Authors: Pablo Lopez Diez, Iosu Gabilondo, Eduard Alarcon, Francesc MollAbstract:Traditional Industry is experiencing a worldwide evolution with Industry 4.0. Wireless sensor networks (WSNs) have a main role in this evolution as an essential part of data acquisition. The way in which WSNs are powered is one of the main challenges to face if Industry wants to achieve the digital transformation. Energy harvesting technologies are one of the possible solutions to this challenge. The main purpose of this paper is to present a novel method to taxonomize knowledge in the field of mechanical energy harvesting to enhance the use of energy harvesting technologies in industrial applications. The methodology is based on the analysis of key parameters and performance metrics for existing technologies. The taxonomy is applied to rail axles in order to select the energy harvesting technology that is more appropriate for this specific location, demonstrating the potential of mechanical energy harvesting technologies (MEHTs) for the Railway Industry, as a use case of industrial environment. In addition, the taxonomy allows to identify the upcoming challenges for research purposes while analyzing the compatibility among mechanical energy harvesting technologies in order to create hybrid harvesters.
Anthony Moulds - One of the best experts on this subject based on the ideXlab platform.
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Wireless sensor networks for condition monitoring in the Railway Industry: A survey
IEEE Transactions on Intelligent Transportation Systems, 2015Co-Authors: Victoria J. Hodge, Simon O'keefe, Michael Weeks, Anthony MouldsAbstract:In recent years, the range of sensing technologies has expanded rapidly, whereas sensor devices have become cheaper. This has led to a rapid expansion in condition monitoring of systems, structures, vehicles, and machinery using sensors. Key factors are the recent advances in networking technologies such as wireless communication and mobile ad hoc networking coupled with the technology to integrate devices.Wireless sensor networks (WSNs) can be used for monitoring the Railway infrastructure such as bridges, rail tracks, track beds, and track equipment along with vehicle health monitoring such as chassis, bogies, wheels, and wagons. Condition monitoring reduces human inspection requirements through automated monitoring, reduces maintenance through detecting faults before they escalate, and improves safety and reliability. This is vital for the development, upgrading, and expansion of Railway networks. This paper surveys these wireless sensors network technology for monitoring in the Railway Industry for analyzing systems, structures, vehicles, and machinery. This paper focuses on practical engineering solutions, principally, which sensor devices are used and what they are used for; and the identification of sensor configurations and network topologies. It identifies their respective motivations and distinguishes their advantages and disadvantages in a comparative review.
