Knowledge Discovery from Vibration Measurements
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM).
However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern recognition are only changes and patterns of changes of data features.
In this paper, based on the similarity between KDD and SHM and considering the particularity of SHM problems, a four-step framework of SHM is proposed which extends the final goal of SHM from detecting damages to extracting knowledge to facilitate decision making.
The purposes and proper methods of each step of this framework are discussed.
To demonstrate the proposed SHM framework, a specific SHM method which is composed by the second order structural parameter identification, statistical control chart analysis, and system reliability analysis is then presented.
To examine the performance of this SHM method, real sensor data measured from a lab size steel bridge model structure are used.
The developed four-step framework of SHM has the potential to clarify the process of SHM to facilitate the further development of SHM techniques.
American Psychological Association (APA)
Deng, Jun& Li, Jian& Wang, Daoyao. 2014. Knowledge Discovery from Vibration Measurements. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1051594
Modern Language Association (MLA)
Deng, Jun…[et al.]. Knowledge Discovery from Vibration Measurements. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1051594
American Medical Association (AMA)
Deng, Jun& Li, Jian& Wang, Daoyao. Knowledge Discovery from Vibration Measurements. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1051594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051594