Probabilistic Neural Network and Fuzzy Cluster Analysis Methods Applied to Impedance-Based SHM for Damage Classification
Impedance-based structural health monitoring technique is performed by measuring the variation of the electromechanical impedance of the structure caused by the presence of damage. The impedance signals are collected from patches of piezoelectric material bonded on the surface of the structure (or e...
Saved in:
| Main Authors: | Lizeth Vargas Palomino, Valder Steffen, Roberto Mendes Finzi Neto |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2014/401942 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent Hybrid SHM-NDT Approach for Structural Assessment of Metal Components
by: Romaine Byfield, et al.
Published: (2025-07-01) -
SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM
by: Pereira, Paulo Elias Carneiro, et al.
Published: (2024-02-01) -
Machine learning and uncertainty quantification to track and monitor natural frequencies in vibration-based SHM applied to offshore wind turbines
by: Maximillian Weil, et al.
Published: (2025-01-01) -
Feedforward Neural Network-Based Digital Twin for SHM of Bridges
by: AL-HIJAZEEN Asseel, et al.
Published: (2025-07-01) -
The Stages of Divorce and Difficulties Experienced by Divorced Women: An Esenler SHM Example
by: Fatih Kucur, et al.
Published: (2021-07-01)