NDLI: Three-way analysis of Structural Health Monitoring data

Content Provider	IEEE Xplore Digital Library
Author	Prada, M.A. Hollmén, J. Toivola, J. Kullaa, J.
Copyright Year	2010
Description	Author affiliation: Aalto University School of Science and Tech., Department of Applied Mechanics, PO Box 14300, FI-00076, Finland (Kullaa, J.) \|\| Aalto University School of Science and Tech., Dept. of Information and Computer Science, PO Box 15400, FI-00076, Finland (Prada, M.A.; Hollmén, J.; Toivola, J.)
Abstract	Structural Health Monitoring aims to identify damages in engineering structures by monitoring changes in their vibration response. Unsupervised learning algorithms can be used to obtain a model of the undamaged condition and detect which samples are not in agreement with it. However, in real structures with a sensor network configuration, the number of candidate features usually becomes large. Therefore, complexity increases and it is necessary to perform feature selection and/or dimensionality reduction. We propose to exploit the three-way structure of data and apply a true multi-way data analysis algorithm: parallel factor analysis. A simple model is obtained and used to train accurate novelty detectors. The methods are tested both with real and simulated structural data to assess that three-way analysis can be successfully used in structural health monitoring.
Starting Page	256
Ending Page	261
File Size	512957
Page Count	6
File Format	PDF
ISBN	9781424478750
ISSN	15512541
e-ISBN	9781424478774
e-ISBN	9781424478767
DOI	10.1109/MLSP.2010.5589252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-29
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Brain modeling Feature extraction Computational modeling Time frequency analysis Load modeling Training
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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