Abstract
This study focuses on a structural health monitoring (SHM) using case-based reasoning (CBR). Structural condition is diagnosed using propagation patterns of ultra-sonic waves. Firstly, emitted pseudo-AE waves are measured in pencil lead fracture experiments. Then, the AE signals are classified into 90 types according to location, magnitude and structural condition. Secondly, pattern identification is conducted using feature parameters extracted from the signals for damage pattern recognition. Finally, feasibility of the method to real structures using CBR is studied. Results showed that the damage patterns could be determined with 82% accuracy. If only the damage location is needed, of the accuracy was higher with 95%. The proposed method using ultra-sonic waves and CBR is thus feasible for practical applications.
| Original language | English |
|---|---|
| Article number | 69321G |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 6932 |
| DOIs | |
| Publication status | Published - 2008 Jun 2 |
| Event | Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008 - San Diego, CA, United States Duration: 2008 Mar 10 → 2008 Mar 13 |
Keywords
- Acoustic emission
- Case-based reasoning
- Structural health monitoring
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering