An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro‐fuzzy classification
Auteur(s): |
Matteo Vagnoli
(Resilience Engineering Research Group University of Nottingham Nottingham UK)
Rasa Remenyte‐Prescott (Resilience Engineering Research Group University of Nottingham Nottingham UK) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Control and Health Monitoring, 13 septembre 2022, n. 10, v. 29 |
DOI: | 10.1002/stc.3027 |
- Informations
sur cette fiche - Reference-ID
10685905 - Publié(e) le:
13.08.2022 - Modifié(e) le:
23.09.2022