Detection of structural damage and estimation of reliability using a multidimensional monitoring approach
Authors:
- J. O. Ortiz,
- German R. Betancur,
- J. Gómez,
- Leonel F. Castañeda,
- Grzegorz Zając G.,
- R. E. Gutiérrez-Carvajal
Abstract
Many structural elements are exposed to load conditions that are difficult to model during the design phase, such as environmental uncertainties, random impacts, and overloading, amongst others, thus increasing unprogrammed maintenance and reducing confidence in the reliability of the structure in question. One way to deal with this problem is to monitor the structural condition of the element. This approach requires supervising several signals coming from critical locations and then performing an accurate condition estimation of the element in question based on the data collected. This study implements a method to diagnose and evaluate the reliability of the bolster beam structure of the railway vehicle during a fatigue test. The results show that multidimensional monitoring not only diagnoses the element accurately but also results in correct estimation of reliability.
- Record ID
- CUTd5f98c330ac5458d92e2572aefe52b49
- Publication categories
- ;
- Author
- Other language title versions
- Detection of structural damage and estimation of reliability using a multidimensional monitoring approach
- Journal series
- Proceedings of the Institution of Mechanical Engineers Part F-Journal of Rail and Rapid Transit, ISSN 0954-4097, e-ISSN 2041-3017
- Issue year
- 2018
- Vol
- 232
- No
- 4
- Pages
- 1021-1032
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (liczba pozycji) - 57; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 232, Iss. 4
- Keywords in English
- RAMS, railway vehicle, reliability, sensor fusion, strain measurement, superstructure
- DOI
- DOI:10.1177/0954409717707122 Opening in a new tab
- URL
- https://journals.sagepub.com/doi/full/10.1177/0954409717707122 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 25
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTd5f98c330ac5458d92e2572aefe52b49/
- URN
urn:pkr-prod:CUTd5f98c330ac5458d92e2572aefe52b49
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.