國立虎尾科技大學 |

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures/ by Alireza Entezami.
作者:	Entezami, Alireza.
面頁冊數:	XII, 136 p. 3 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal, Image and Speech Processing. -
電子資源:	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:

670837
Signal, Image and Speech Processing.

LC Class. No.: TH1-9745

Dewey Class. No.: 690

Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures
LDR:02315nam a22003975i 4500 001 1052627
003 DE-He213
005 20211125235502.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030662592 $9 978-3-030-66259-2
024 7 $a 10.1007/978-3-030-66259-2 $2 doi
035 $a 978-3-030-66259-2
050 4 $a TH1-9745
072 7 $a TNK $2 bicssc
072 7 $a TEC005050 $2 bisacsh
072 7 $a TNK $2 thema
072 7 $a TNKH $2 thema
082 0 4 $a 690 $2 23
100 1 $a Entezami, Alireza. $e author. $0 (orcid)0000-0002-4864-2120 $1 https://orcid.org/0000-0002-4864-2120 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1357356
245 1 0 $a Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures $h [electronic resource] / $c by Alireza Entezami.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 136 p. 3 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a PoliMI SpringerBriefs, $x 2282-2585
520 $a 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.
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Vibration, Dynamical Systems, Control. $3 670825
650 1 4 $a Building Construction and Design. $3 1114677
650 0 $a Speech processing systems. $3 564428
650 0 $a Image processing. $3 557495
650 0 $a Signal processing. $3 561459
650 0 $a Dynamics. $3 592238
650 0 $a Dynamical systems. $3 1249739
650 0 $a Vibration. $3 595749
650 0 $a Engineering, Architectural. $3 845652
650 0 $a Construction. $3 1254179
650 0 $a Building. $3 557609
650 0 $a Buildings—Design and construction. $3 1254621
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030662585
776 0 8 $i Printed edition: $z 9783030662608
830 0 $a PoliMI SpringerBriefs, $x 2282-2577 $3 1254671
856 4 0 $u https://doi.org/10.1007/978-3-030-66259-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)