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Hyperdimensional co...
Hyperdimensional computing in industrial systems : the use-case of distributed fault isolation in a power plant
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- Kleyko, Denis, 1990- (författare)
- Luleå tekniska universitet,Datavetenskap
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- Osipov, Evgeny (författare)
- Luleå tekniska universitet,Datavetenskap
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- Papakonstantinou, Nikolaos (författare)
- VTT Technical Research Center of Finland
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- Vyatkin, Valeriy (författare)
- Luleå tekniska universitet,Datavetenskap,Department of Electrical Engineering and Automation, Aalto University, Finland
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(creator_code:org_t)
- IEEE, 2018
- 2018
- Engelska.
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 6, s. 30766-30777
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper presents an approach for distributed fault isolation in a generic system of systems. The proposed approach is based on the principles of hyperdimensional computing. In particular, the recently proposed method called Holographic Graph Neuron is used. We present a distributed version of Holographic Graph Neuron and evaluate its performance on the problem of fault isolation in a complex power plant model. Compared to conventional machine learning methods applied in the context of the same scenario the proposed approach shows comparable performance while being distributed and requiring simple binary operations, which allow for a fast and efficient implementation in hardware.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Dependable Communication and Computation Systems
- Kommunikations- och beräkningssystem
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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