A data-driven algorithm for detecting anomalies in underwater sensor-based wave height measurements-Reference-Cited by-同舟云学术

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A data-driven algorithm for detecting anomalies in underwater sensor-based wave height measurements

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
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Author:

Scordamaglia Valerio¹,Ferraro Alessia¹,Gurnari Luana¹,Ruffa Filippo¹,De Capua Claudio¹,Giuseppe Filianoti Pasquale²

Affiliation:

1. DIIES Università "Mediterranea",Reggio Calabria,Italy

2. DICEAM Università "Mediterranea",Reggio Calabria,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317072/10317097/10317188.pdf?arnumber=10317188

Reference34 articles.

1. An hybrid command governor supervisory scheme for flight control systems subject to unpredictable anomalies

2. A set based approach for SFDI on small commercial aircraft

3. Wave mechanics and wave loads on marine structure;boccotti,2015

4. A quality-related fault detection approach based on dynamic least squares for process monitoring;jiao;IEEE Transactions on Industrial Electronics,2016

5. Fault tolerant low cost IMUS for UAVs

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