Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

Andreas Tockner; Bernhard Blümel; Katrin Ellermann

doi:10.3389/fbuil.2021.658363

Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

Andreas Tockner^*, Bernhard Blümel, Katrin Ellermann

^*Corresponding author for this work

Institute of Mechanics (3050)

Research output: Contribution to journal › Article › peer-review

Abstract

Within the Space@Sea project, funded by the Horizon 2020 program, a concept for a floating island was developed. The main idea is to create space in the offshore environment, which can be used to harvest renewable energy, grow food or build a maritime transport and logistic hub. The island is designed as an assembly of platforms, which are connected by ropes and fenders. These connection elements are considered critical, as they have to carry extreme loads in the severe offshore environment. At the
same time, any failure in the connecting elements might put the entire platform structure at risk. This paper presents a feasibility study for the fault detection in the connection elements using Extended Kalman filters. For various test cases, typical parameters of the connecting elements are estimated from motion data of the structure. Thus, the technique reveals changes in the connections. For various test cases, it is shown that fault detection is possible. Not only a failure of a single connecting rope but also multiple
faults in the system can be detected.

Translated title of the contribution	Fehlererkennung bei modularen Offshore-Plattformverbindungen mit erweitertem Kalman-Filter
Original language	English
Article number	658363
Pages (from-to)	1-19
Number of pages	19
Journal	Frontiers in Built Environment
Volume	7
DOIs	https://doi.org/10.3389/fbuil.2021.658363
Publication status	Published - 3 May 2021

Keywords

extended Kalman filter
fault detection
offshore
floating islands
multi body dynamics
Pierson-Moskowitz power spectrum

ASJC Scopus subject areas

Geography, Planning and Development
Building and Construction
Urban Studies

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3389/fbuil.2021.658363Licence: CC BY 4.0

Cite this

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title = "Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter",

abstract = "Within the Space@Sea project, funded by the Horizon 2020 program, a concept for a floating island was developed. The main idea is to create space in the offshore environment, which can be used to harvest renewable energy, grow food or build a maritime transport and logistic hub. The island is designed as an assembly of platforms, which are connected by ropes and fenders. These connection elements are considered critical, as they have to carry extreme loads in the severe offshore environment. At thesame time, any failure in the connecting elements might put the entire platform structure at risk. This paper presents a feasibility study for the fault detection in the connection elements using Extended Kalman filters. For various test cases, typical parameters of the connecting elements are estimated from motion data of the structure. Thus, the technique reveals changes in the connections. For various test cases, it is shown that fault detection is possible. Not only a failure of a single connecting rope but also multiplefaults in the system can be detected.",

keywords = "extended Kalman filter, fault detection, offshore, floating islands, multi body dynamics, Pierson-Moskowitz power spectrum",

author = "Andreas Tockner and Bernhard Bl{\"u}mel and Katrin Ellermann",

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year = "2021",

month = may,

day = "3",

doi = "10.3389/fbuil.2021.658363",

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T1 - Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

AU - Tockner, Andreas

AU - Blümel, Bernhard

AU - Ellermann, Katrin

PY - 2021/5/3

Y1 - 2021/5/3

N2 - Within the Space@Sea project, funded by the Horizon 2020 program, a concept for a floating island was developed. The main idea is to create space in the offshore environment, which can be used to harvest renewable energy, grow food or build a maritime transport and logistic hub. The island is designed as an assembly of platforms, which are connected by ropes and fenders. These connection elements are considered critical, as they have to carry extreme loads in the severe offshore environment. At thesame time, any failure in the connecting elements might put the entire platform structure at risk. This paper presents a feasibility study for the fault detection in the connection elements using Extended Kalman filters. For various test cases, typical parameters of the connecting elements are estimated from motion data of the structure. Thus, the technique reveals changes in the connections. For various test cases, it is shown that fault detection is possible. Not only a failure of a single connecting rope but also multiplefaults in the system can be detected.

AB - Within the Space@Sea project, funded by the Horizon 2020 program, a concept for a floating island was developed. The main idea is to create space in the offshore environment, which can be used to harvest renewable energy, grow food or build a maritime transport and logistic hub. The island is designed as an assembly of platforms, which are connected by ropes and fenders. These connection elements are considered critical, as they have to carry extreme loads in the severe offshore environment. At thesame time, any failure in the connecting elements might put the entire platform structure at risk. This paper presents a feasibility study for the fault detection in the connection elements using Extended Kalman filters. For various test cases, typical parameters of the connecting elements are estimated from motion data of the structure. Thus, the technique reveals changes in the connections. For various test cases, it is shown that fault detection is possible. Not only a failure of a single connecting rope but also multiplefaults in the system can be detected.

KW - extended Kalman filter

KW - fault detection

KW - offshore

KW - floating islands

KW - multi body dynamics

KW - Pierson-Moskowitz power spectrum

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JO - Frontiers in Built Environment

JF - Frontiers in Built Environment

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Fault Detection in Modular Offshore Platform Connections Using Extended Kalman Filter

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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