In guided wave structural health monitoring, defects are typically detected by identifying high residuals obtained through the baseline subtraction method, where an earlier measurement is subtracted from the "current" signal. Unfortunately, varying environmental and operational conditions (EOCs), such as temperature, also produce signal changes and hence, potentially, high residuals. While the majority of the temperature compensation methods that have been developed target the changed wave speed induced by varying temperature, a number of other effects are not addressed, such as the changes in attenuation, the relative amplitudes of different modes excited by the transducer, and the transducer frequency response. A temperature compensation procedure is developed, whose goal is to correct any spatially dependent signal change that is a systematic function of temperature. At each structural position, a calibration function that models the signal variation with temperature is computed and is used to correct the measurements, so that in the absence of a defect the residual is reduced to close to zero. This new method was applied to a set of guided wave signals collected in a blind trial of a guided wave pipe monitoring system using the T(0, 1) mode, yielding residuals de-coupled from temperature and reduced by at least 50 as compared with those obtained using the standard approach at positions away from structural features, and by more than 90 at features such as the pipe end. The method, therefore, promises a substantial improvement in the detectability of small defects, particularly at the existing pipe features.

Mariani, S., Heinlein, S., Cawley, P. (2020). Location specific temperature compensation of guided wave signals in structural health monitoring. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 67(1), 146-157 [10.1109/TUFFC.2019.2940451].

Location specific temperature compensation of guided wave signals in structural health monitoring

Mariani, S.
Primo
;
2020

Abstract

In guided wave structural health monitoring, defects are typically detected by identifying high residuals obtained through the baseline subtraction method, where an earlier measurement is subtracted from the "current" signal. Unfortunately, varying environmental and operational conditions (EOCs), such as temperature, also produce signal changes and hence, potentially, high residuals. While the majority of the temperature compensation methods that have been developed target the changed wave speed induced by varying temperature, a number of other effects are not addressed, such as the changes in attenuation, the relative amplitudes of different modes excited by the transducer, and the transducer frequency response. A temperature compensation procedure is developed, whose goal is to correct any spatially dependent signal change that is a systematic function of temperature. At each structural position, a calibration function that models the signal variation with temperature is computed and is used to correct the measurements, so that in the absence of a defect the residual is reduced to close to zero. This new method was applied to a set of guided wave signals collected in a blind trial of a guided wave pipe monitoring system using the T(0, 1) mode, yielding residuals de-coupled from temperature and reduced by at least 50 as compared with those obtained using the standard approach at positions away from structural features, and by more than 90 at features such as the pipe end. The method, therefore, promises a substantial improvement in the detectability of small defects, particularly at the existing pipe features.
2020
Mariani, S., Heinlein, S., Cawley, P. (2020). Location specific temperature compensation of guided wave signals in structural health monitoring. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 67(1), 146-157 [10.1109/TUFFC.2019.2940451].
Mariani, S.; Heinlein, S.; Cawley, P.
File in questo prodotto:
File Dimensione Formato  
Location_Specific_Temperature_Compensation_of_Guided_Wave_Signals_in_Structural_Health_Monitoring.pdf

accesso aperto

Descrizione: Articolo
Tipo: Versione (PDF) editoriale
Licenza: Creative commons
Dimensione 2.61 MB
Formato Adobe PDF
2.61 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/923155
Citazioni
  • ???jsp.display-item.citation.pmc??? 7
  • Scopus 39
  • ???jsp.display-item.citation.isi??? 37
social impact