Browsing Publikasjoner fra CRIStin - SINTEF Energi by Author "Salvo Rossi, Pierluigi"
Now showing items 1-5 of 5
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Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants
Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)This work proposes a data fusion approach for quickest fault detection and localization within industrial plants via wireless sensor networks. Two approaches are proposed, each exploiting different network architectures. ... -
Distributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-tests
Ciuonzo, Domenico; Salvo Rossi, Pierluigi; Varshney, Pramod K. (Peer reviewed; Journal article, 2021)In this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic ... -
Energy Storage Solutions for Offshore Applications
Arellano Prieto, Yessica Alexandra; Chavez Panduro, Elvia Anabela; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2022)Increased renewable energy production and storage is a key pillar of net-zero emission. The expected growth in the exploitation of offshore renewable energy sources, e.g., wind, provides an opportunity for decarbonising ... -
Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario
Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Chapter; Peer reviewed, 2021)In this work, we present a spatio-temporal decision fusion approach aimed at performing quickest detection of faults within an Oil and Gas subsea production system. Specifically, a sensor network collectively monitors the ... -
Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario
Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Chapter; Peer reviewed, 2021)In this work, we present a spatio-temporal decision fusion approach aimed at performing quickest detection of faults within an Oil and Gas subsea production system. Specifically, a sensor network collectively monitors the ...