Electronic Resource

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000635	EB0001188	624.171 Ent s	Central Library (OPAC)	Available

Detail Information

Series Title

-

Call Number

624.171 Ent s

Publisher

Switzerland : Springer Cham., 2021

Collation

x, 301p.:Ill

Language

English

ISBN/ISSN

978-3-030-66259-2

Classification

624.171

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

-

Subject(s)

Time-Series Analysis

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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