Impact of Model Knowledge on Acoustic Emission Source Localization Accuracy

Activity: Talk or presentationContributed talkscience-to-science

Description

Reliable and precise damage localization in mechanical structures is of high importance in the context of structural health monitoring (SHM). The acoustic emission (AE) method has already shown its excellent suitability for damage localization. However, low signal-to-noise ratios (SNRs) are often prevalent in SHM, thus an increase in localization accuracy and robustness is still in demand. The present study faces this task through the integration of various model knowledge for AE source localization. The basis of the presented algorithm is the consideration of the dispersive behavior of elastic waves in thin-walled structures. The continuous wavelet transform (CWT) is used to obtain time-frequency representations of the signals, where frequency-dependent values for time-of-arrival (TOA) are extracted. Furthermore, the algorithm incorporates the knowledge that all sensors receive signals with the same time and location of origin, as well as the slightly different sensitivity of the theoretically equal sensors. The final localization results are achieved by a two parameter grid search optimization. The algorithm is experimentally tested on a large aluminum plate with four piezoelectric wafer active sensors (PWASs) arranged in an array of 100 mm × 100 mm. The mean localization error of pencil lead breaks at ten different positions within the sensor array is used as an accuracy measure. It is shown that as more of the described model knowledge is incorporated into the localization, the accuracy increases. With the final algorithm, the mean localization error is more than halved compared to AE localization based on classical TOA estimation. Although the experiment described is conducted under laboratory conditions, the remarkable increase in accuracy suggests that AE source localization may be successful even at low SNR as typical for operational conditions.
Period19 Sept 2024
Event title36th Conference of the European Working Group on Acoustic Emission
Event typeConference
LocationGermanyShow on map

Fields of science

  • 203 Mechanical Engineering
  • 205015 Composites
  • 203022 Technical mechanics
  • 203011 Lightweight design
  • 203002 Endurance strength
  • 203012 Aerospace engineering
  • 203034 Continuum mechanics
  • 203015 Mechatronics
  • 203004 Automotive technology
  • 211905 Bionics
  • 203003 Fracture mechanics
  • 201117 Lightweight design
  • 205016 Materials testing
  • 203007 Strength of materials

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management