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Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures/ by Alireza Entezami.
Author:	Entezami, Alireza.
Description:	XII, 136 p. 3 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Buildings—Design and construction. -
Online resource:	https://doi.org/10.1007/978-3-030-66259-2
ISBN:	9783030662592

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures
Entezami, Alireza.

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures[electronic resource] /by Alireza Entezami. - 1st ed. 2021. - XII, 136 p. 3 illus.online resource. - PoliMI SpringerBriefs,2282-2585. - PoliMI SpringerBriefs,.

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.

ISBN: 9783030662592

Standard No.: 10.1007/978-3-030-66259-2doiSubjects--Topical Terms:

1254621
Buildings—Design and construction.

LC Class. No.: TH1-9745

Dewey Class. No.: 690

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures
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