Quantitative multi-modal NDT data analysis
- A single NDT technique is often not adequate to provide assessments about the integrity of test objects with
the required coverage or accuracy. In such situations, it is often resorted to multi-modal testing, where complementary
and overlapping information from different NDT techniques are combined for a more comprehensive evaluation. Multimodal
material and defect characterization is an interesting task which involves several diverse fields of research,
including signal and image processing, statistics and data mining. The fusion of different modalities may improve
quantitative nondestructive evaluation by effectively exploiting the augmented set of multi-sensor information about the
material. It is the redundant information in particular, whose quantification is expected to lead to increased reliability and
robustness of the inspection results. There are different systematic approaches to data fusion, each with its specific
advantages and drawbacks. In our contribution, these will beA single NDT technique is often not adequate to provide assessments about the integrity of test objects with
the required coverage or accuracy. In such situations, it is often resorted to multi-modal testing, where complementary
and overlapping information from different NDT techniques are combined for a more comprehensive evaluation. Multimodal
material and defect characterization is an interesting task which involves several diverse fields of research,
including signal and image processing, statistics and data mining. The fusion of different modalities may improve
quantitative nondestructive evaluation by effectively exploiting the augmented set of multi-sensor information about the
material. It is the redundant information in particular, whose quantification is expected to lead to increased reliability and
robustness of the inspection results. There are different systematic approaches to data fusion, each with its specific
advantages and drawbacks. In our contribution, these will be discussed in the context of nondestructive materials testing.
A practical study adopting a high-level scheme for the fusion of Eddy Current, GMR and Thermography measurements
on a reference metallic specimen with built-in grooves will be presented. Results show that fusion is able to outperform
the best single sensor regarding detection specificity, while retaining the same level of sensitivity.…
Autor*innen: | René Heideklang, Parisa Shokouhi |
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Dokumenttyp: | Beitrag zu einem Tagungsband |
Veröffentlichungsform: | Graue Literatur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | QNDE conference 2013 - Review of progress in quantitative nondestructive evaluation |
Jahr der Erstveröffentlichung: | 2013 |
Erste Seite: | 1 |
Letzte Seite: | 5(?) |
Freie Schlagwörter: | Data fusion; Multi-sensor; Reliability |
Veranstaltung: | Quantitative nondestructive Evaluation conference 2013 (QNDE) |
Veranstaltungsort: | Baltimore, MD, USA |
Beginndatum der Veranstaltung: | 2013-07-21 |
Enddatum der Veranstaltung: | 2013-07-26 |
Verfügbarkeit des Dokuments: | Physisches Exemplar in der Bibliothek der BAM vorhanden ("Hardcopy Access") |
Bibliotheksstandort: | Sonderstandort: Publica-Schrank |
Datum der Freischaltung: | 20.02.2016 |
Referierte Publikation: | Ja |
Datum der Eintragung als referierte Publikation: | 27.01.2014 |