Development of Fuzzy Rules for Damage Detection and Location
Published Online: 15 SEP 2009
Copyright © 2009 John Wiley & Sons, Ltd. All rights reserved.
Encyclopedia of Structural Health Monitoring
How to Cite
Ganguli, R. 2009. Development of Fuzzy Rules for Damage Detection and Location. Encyclopedia of Structural Health Monitoring. .
- Published Online: 15 SEP 2009
Work done in using fuzzy logic for structural damage detection is reviewed. An introduction to fuzzy logic is given and the process of developing rules is illustrated using two examples for damage detection in cantilever beams made of isotropic and composite materials, respectively. It is shown that fuzzy logic provides a practical alternative to neural network and genetic algorithm–based damage detection approaches popular with structural health monitoring researchers. Fuzzy logic–based damage detection algorithms can detect, locate, and identify the size of damage from noisy data. Moreover, the process of rule development in fuzzy systems can be automated via learning algorithms leading to genetic fuzzy systems.
- pattern recognition;
- fuzzy logic;
- noisy data;
- genetic algorithm;
- modal analysis