Einband gross Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

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Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

von

Entezami, Alireza

E-BookPDF1 - PDF WatermarkE-Book

136 Seiten

Englisch

Springer International Publishingerschienen am01.02.20211st ed. 2021

This book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty detection techniques are presented to detect, locate, and quantify different damage scenarios. The performance of the presented methods is demonstrated via laboratory and full-scale structures along with several comparative studies. The main target audience of the book includes scholars, graduate students working on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and operational variations; it would also be beneficial for practicing engineers whose work involves these topics.mehr

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KlappentextThis book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty detection techniques are presented to detect, locate, and quantify different damage scenarios. The performance of the presented methods is demonstrated via laboratory and full-scale structures along with several comparative studies. The main target audience of the book includes scholars, graduate students working on SHM via statistical pattern recognition in terms of feature extraction and classification for damage diagnosis under environmental and operational variations; it would also be beneficial for practicing engineers whose work involves these topics.

Details

Weitere ISBN/GTIN9783030662592

ProduktartE-Book

EinbandartE-Book

FormatPDF

Format Hinweis1 - PDF Watermark

FormatE107

Verlag

Springer International Publishing

Erscheinungsjahr2021

Erscheinungsdatum01.02.2021

Auflage1st ed. 2021