Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Matched Filter for Acoustic Emission Monitoring in Noisy Environments2citations
  • 2023Frequency dependent amplitude response of different couplant materials for mounting piezoelectric sensors3citations
  • 2023Semi-supervised Learning for Acoustic Vision Monitoring of Tendons in Pre-stressed Concrete Bridges1citations

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Marx, Steffen
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Ostermann, Joern
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Käding, Max
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2024
2023

Co-Authors (by relevance)

  • Marx, Steffen
  • Ostermann, Joern
  • Lange, Alexander
  • Kaeding, Max
  • Ostermann, Jörn
  • Gutiérrez, Raúl Enrique Beltrán
  • Käding, Max
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article

Matched Filter for Acoustic Emission Monitoring in Noisy Environments

  • Marx, Steffen
  • Ostermann, Joern
  • Lange, Alexander
  • Xu, Ronghua
  • Kaeding, Max
Abstract

<p>Regular inspections of important civil infrastructures are mandatory to ensure structural safety and reliability. Until today, these inspections are primarily conducted manually, which has several deficiencies. In context of prestressed concrete structures, steel tendons can be susceptible to stress corrosion cracking, which may result in breakage of individual wires that is visually not observable. Recent research therefore suggests Acoustic Emission Monitoring for wire break detection in prestressed concrete structures. However, in noisy environments, such as wind turbines, conventional acoustic emission detection based on user-defined amplitude thresholds may not be suitable. Thus, we propose the use of matched filters for acoustic emission detection in noisy environments and apply the proposed method to the task of wire break detection in post-tensioned wind turbine towers. Based on manually conducted wire breaks and rebound hammer tests on a large-scale test frame, we employ a brute-force search for the most suitable query signal of a wire break event and a rebound hammer impact, respectively. Then, we evaluate the signal detection performance on more than 500 other wire break signals and approximately one week of continuous acoustic emission recordings in an operating wind turbine. For a signal-to-noise ratio of 0 dB, the matched filter approach shows an improvement in AUC by up to 0.78 for both, the wire break and the rebound hammer query signal, compared to state-of-the-art amplitude-based detection. Even for the unscaled wire break measurements originally recorded at the 12 m large laboratory test frame, the improvement in AUC still lies between 0.01 and 0.25 depending on the wind turbine noise recordings considered for evaluation. Matched filters may therefore be a promising alternative to amplitude-based detection algorithms and deserve particular consideration with regard to Acoustic Emission Monitoring, especially in noisy environments or when sparse senor networks are required.</p>

Topics
  • impedance spectroscopy
  • steel
  • acoustic emission
  • wire
  • stress corrosion