A Performance Metric to Evaluate Frequency-Based Damage Indicators

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Frequency-based correlation methods have been established as an autonomous tool for extracting key features of structures in Structural Health Monitoring (SHM). Although the literature on the subject is extensive and includes multiple correlation strategies, validation of most of these methods has been performed on simple structures, such as beams or plates. In contrast, their validity for application in more complex structures under more realistic damage scenarios deserves further investigation. In this work, a method called Precision-Recall curve based on the confusion matrix is proposed to objectively evaluate the performance of spectral correlation methods for structural damage detection from vibration data sets. The Precision-Recall curve is then condensed into a scalar value using the Area Under the Curve (AUC) metric. The work is based on extensive experimental lab tests that use three different structures with decreasing modal information, challenging the detection of damage scenarios. In addition, the effects of noise and frequency range are studied as key factors that can reduce or improve the performance of the indicators. The work results also validate the method based on the Complex Frequency Domain Assurance Criterion (CFDAC) previously proposed by the authors in structures with scarce modal information. Finally, experimental evidence allows conclusions to be drawn on the performance of different indicators available in the literature.

Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1
EditorsPiervincenzo Rizzo, Alberto Milazzo
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Electronic)978-3-031-07254-3
ISBN (Print)9783031072536
Publication statusPublished - 19 Jun 2023
Event10th European Workshop on Structural Health Monitoring, EWSHM 2022 - Palermo, Italy
Duration: 4 Jul 20227 Jul 2022

Publication series

NameLecture Notes in Civil Engineering
Volume253 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565


Conference10th European Workshop on Structural Health Monitoring, EWSHM 2022


  • Damage detection
  • Frequency response function
  • Precision-recall


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