Analysis of the Impact of Sustained Load and Temperature on the Performance of the Electromechanical Impedance Technique through Multilevel Machine Learning and FBG Sensors

Analysis of the Impact of Sustained Load and Temperature on the Performance of the Electromechanical Impedance Technique through Multilevel Machine Learning and FBG Sensors

The electro-mechanical impedance (EMI) technique has been applied successfully to detect minor damage in engineering structures including reinforced concrete (RC). However, in the presence of temperature variations, it can cause false alarms in structural health monitoring (SHM) applications. This p...

Full description

Bibliographic Details
Main Authors: Ricardo Perera, Lluis Torres, Francisco J. Díaz, Cristina Barris, Marta Baena
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
structural health monitoring
hierarchical clustering
k-means clustering
PZT sensors
FBG sensors
sustained load
Online Access:https://www.mdpi.com/1424-8220/21/17/5755

Similar Items

Similar Items