| Resumen |
In this paper, a structural damage identification approach is proposed which combines adaptive network-based fuzzy inference system (ANFIS) and wavelet packet transform (WPT) technologies. The approach is referred to as ANFIS-WPT. For each measured structure vibration response signal, WPT is first applied to extract a feature vector representing its energy distribution in different frequency bands. Based on its energy percentage contribution, selected elements of the obtained feature vector are taken as inputs for the ANFIS. The output of the ANFIS is a condition index, which can be a Boolean value (0 or 1) for level 1 damage assessment use (damage detection), or a number of values for level 2 damage assessment use (damage localisation). Provided an ANFIS model is well trained by the available data, it can be used for health monitoring and damage localisation. The proposed approach was applied to the data obtained from an experiment involving a cantilever beam for damage detection and localisation. The testing results show that the method is successful in detecting and classifying structural damage. |
