Vibrodiagnostics of pre-stressed structures: a pattern recognition based approach

Jacek Dybała , Krzysztof Szczurowski


The following paper presents a pattern recognition approach to the condition monitoring of technical objects. The Noise-Assisted Feature Subset Evaluation (NAFSE) method addressed for the extraction of diagnostic parameters was used. The NBV-based classifier conducted the final recognition of the object’s condition on the basis of the diagnostic parameters obtained from the NAFSE method. The effectiveness of the proposed pattern recognition approach is illustrated by effective vibrodiagnostics of pre-stressed concrete structures. The approach shows potential for the damage detection of pre-stressed concrete structures at an early stage of damage development.
Author Jacek Dybała (FACME / IAE)
Jacek Dybała,,
- Institute of Automotive Engineering
, Krzysztof Szczurowski (FACME / IAE)
Krzysztof Szczurowski,,
- Institute of Automotive Engineering
Journal seriesMachine Dynamics Research, ISSN 2080-9948
Issue year2016
Publication size in sheets0.5
Keywords in Englishvibrodiagnostics, pre-stressed structures, pattern recognition
Languageen angielski
LicenseRepository; published final; Uznanie Autorstwa - Bez Utworów Zależnych (CC-BY-ND); after publication
Score (nominal)14
ScoreMinisterial score = 14.0, 05-09-2019, ArticleFromJournal
Ministerial score (2013-2016) = 14.0, 05-09-2019, ArticleFromJournal
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