Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Towards Automated Structural Health Monitoring for Offshore Wind Piles

: Kleiser, Dominik; Woock, Philipp

Postprint urn:nbn:de:0011-n-6351012 (8.6 MByte PDF)
MD5 Fingerprint: 2d0abc4fd4713f525f9327b2d62e136b
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 27.5.2021

Institute of Electrical and Electronics Engineers -IEEE-:
Global Oceans 2020. Singapore - U.S. Gulf Coast : October 5-30, 2020, virtual
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-8409-8
ISBN: 978-1-7281-5446-6
5 S.
Conference "Global OCEANS 2020 - Singapore - U.S. Gulf Coast" <2020, Online>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
structural health monitoring; monopile; Offshore Wind; ROV; simulation; digital twin

Simulation plays an important role in the development, testing and evaluation of new robotic applications, reducing implementation time, cost and risk. In this paper we show a digital twin simulation model of an inspection ROV which is capable of performing structural health monitoring by automated creation of a map of an offshore wind monopile. The data is compared to a known reference model. The digital twin simulation model is extended by a physical sensor data input device to bridge the gap between simulation and testing in water.