MARC details
| 000 -LEADER |
|---|
| fixed length control field |
05867nam a22005895i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
TR-AnTOB |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231122101637.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
211023s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030817169 |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1007/978-3-030-81716-9 |
| Source of number or code |
doi |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
TR-AnTOB |
| Language of cataloging |
eng |
| Transcribing agency |
TR-AnTOB |
| Description conventions |
rda |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
İngilizce |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TA656.6 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UN |
| Source |
bicssc |
|
|---|
| Subject category code |
COM031000 |
| Source |
bisacsh |
|
|---|
| Subject category code |
UN |
| Source |
thema |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TA656.6EBK |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Structural Health Monitoring Based on Data Science Techniques |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
edited by Alexandre Cury, Diogo Ribeiro, Filippo Ubertini, Michael D. Todd. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2022. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
| -- |
Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Structural Integrity, |
| International Standard Serial Number |
2522-5618 ; |
| Volume/sequential designation |
21 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1. Vibration-based structural damage detection using sparse Bayesian learning techniques (Rongrong Hou) -- Chapter 2. Bayesian deep learning for vibration-based bridge damage detection (Davíð Steinar Ásgrímsson) -- Chapter 3. Diagnosis, Prognosis, and Maintenance Decision Making for Civil Infrastructure: Bayesian Data Analytics and Machine Learning (Manuel A. Vega) -- Chapter 4. Real-Time Machine Learning for High-Rate Structural Health Monitoring (Simon Laflamme) -- Chapter 5. Development and validation of a data-based SHM method for railway bridges (Ana Claudia Neves) -- Chapter 6. Real-time unsupervised detection of early damage in railway bridges using traffic-induced responses (Andreia Meixedo) -- Chapter 7. Fault diagnosis in structural health monitoring systems using signal processing and machine learning techniques (Henrieke Fritz). Chapter 8. A self-adaptive hybrid model/data-driven approach to SHM based on Model Order Reduction and Deep Learning (Luca Rosafalco) -- Chapter 9. Predictive monitoring of large-scale engineering assets using machine learning techniques and reduced order modeling (Caterina Bigoni) -- Chapter 10. Unsupervised data-driven methods for damage identification in discontinuous media (Rebecca Napolitano) -- Chapter 11. Applications of Deep Learning in intelligent construction (Yang Zhang) -- Chapter 12. Integrated SHM systems: Damage detection through unsupervised learning and data fusion (Enrique García-Macías) -- Chapter 13. Environmental influence on modal parameters: linear and non-linear methods for its compensation in the context of Structural Health Monitoring (Carlo Rainieri) -- Chapter 14. Vibration based damage feature for long-term structural health monitoring under realistic environmental and operational variability (Francescantonio Lucà) -- Chapter 15. On explicit and implicit procedures to mitigate environmental and operational variabilities in data-driven structural health monitoring (David García Cava). Chapter 16. Explainable artificial intelligence to advanced structural health monitoring (Daniel Luckey) -- Chapter 17. Physics-informed machine learning for Structural Health Monitoring (Elizabeth J. Cross) -- Chapter 18. Interpretable Machine Learning for Function Approximation in Structural Health Monitoring (Jin-Song Pei) -- Chapter 19. Partially-Supervised Learning for Data-Driven Structural Health Monitoring (Lawrence A. Bull) -- Chapter 20. Population-Based Structural Health Monitoring (Paul Gardner) -- Chapter 21. Machine Learning-Based Structural Damage Identification within Three-Dimensional Point Clouds (Mohammad Ebrahim Mohammadi) -- Chapter 22. New sensor nodes, cloud and data analytics: case studies on large scale SHM systems (Isabella Alovisi). |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence—Data processing. |
|
|---|
| Topical term or geographic name entry element |
Machine learning. |
|
|---|
| Topical term or geographic name entry element |
Quantitative research. |
|
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
|
|---|
| Topical term or geographic name entry element |
Data Science. |
|
|---|
| Topical term or geographic name entry element |
Machine Learning. |
|
|---|
| Topical term or geographic name entry element |
Data Analysis and Big Data. |
|
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 653 #0 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Structural health monitoring |
|
|---|
| Uncontrolled term |
Structural health monitoring -- Data processing |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cury, Alexandre. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0002-8860-1286 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
|
|---|
| Personal name |
Ribeiro, Diogo. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0001-8624-9904 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
|
|---|
| Personal name |
Ubertini, Filippo. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0002-5044-8482 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
|
|---|
| Personal name |
Todd, Michael D. |
| Relator term |
editor. |
| Authority record control number or standard number |
(orcid)0000-0002-4492-5887 |
| Relator code |
edt |
| -- |
http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Structural Integrity, |
| International Standard Serial Number |
2522-5618 ; |
| Volume/sequential designation |
21 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-81716-9">https://doi.org/10.1007/978-3-030-81716-9</a> |
| Materials specified |
Springer eBooks |
| Public note |
Online access link to the resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
E-Book |
