Blar i Import fra CRIStin på forfatter "Øvsthus, Knut"

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    • Energy Efficient Determinism in WSN through Reverse Packet Elimination 

      Kvist, Fredrik; Urke, Andreas Ramstad; Øvsthus, Knut (Peer reviewed; Journal article, 2020)
      Recently, the industrial wireless sensor network (WSN) has gained attention as a complement to wired networks due to its flexibility and lower installation cost. We present a novel Reverse Packet Elimination (RPE) algorithm ...

    • Fault detection of a wind turbine generator bearing using interpretable machine learning 

      Bindingsbø, Oliver Trygve; Singh, Maneesh; Øvsthus, Knut; Keprate, Arvind (Peer reviewed; Journal article, 2023)
      During its operational lifetime, a wind turbine is subjected to a number of degradation mechanisms. If left unattended, the degradation of components will result in its suboptimal performance and eventual failure. Hence, ...

    • Layered autonomous TSCH scheduler for minimal band occupancy with bounded latency 

      Urke, Andreas Ramstad; Kure, Øivind; Øvsthus, Knut (Peer reviewed; Journal article, 2020)
      Robustness and bounded latency are among the key requirements in wireless industrial networks. A typical traffic patterns is convergecast, where sensors sends data towards a sink, resulting in a funneling effect with ...

    • A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things 

      Urke, Andreas Ramstad; Kure, Øivind; Øvsthus, Knut (Peer reviewed; Journal article, 2021)
      Concepts such as Industry 4.0 and Cyber-Physical Systems may bring forward a new industrial revolution. These concepts require extensive connectivity far beyond what is provided by traditional industrial networks. The ...

    • Utilising LiDAR for fall detection 

      Frøvik, Nikolai; Malekzai, Bashir Ahmad; Øvsthus, Knut (Journal article; Peer reviewed, 2021)
      Autonomous driving generates several low‐cost technologies, such as light detection and ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive performance improvements. Our ambition is to capitalise ...