Using electromechanical impedance and extreme learning machine to detect and locate damage in structures
The main objective in structural health monitoring is to keep track of the changes in the dynamic characteristics of the structural system in order both to detect and locate the damage, and to make a decision automatically whether the damage is in dangerous level for the structure or not. In partic...
Main Authors: | Djemana, Mohamed, Hrairi, Meftah, Al Jeroudi, Yazan |
---|---|
Format: | Article |
Language: | English English |
Published: |
Springer
2017
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/57187/ http://irep.iium.edu.my/57187/ http://irep.iium.edu.my/57187/ http://irep.iium.edu.my/57187/1/57187_Using%20electromechanical%20impedance.pdf http://irep.iium.edu.my/57187/2/57187_Using%20electromechanical%20impedance_SCOPUS.pdf |
Similar Items
-
Damage detection in structures using electromechanical impedance and finite element analysis
by: Djemana, Mohamed, et al.
Published: (2015) -
Modelling and simulation of impedance-based damage monitoring of structures
by: Djemana, Mohamed, et al.
Published: (2016) -
Impedance based detection of delamination in composite structures
by: Djemana, Mohamed, et al.
Published: (2017) -
Human location detection system using micro-electromechanical sensor for intelligent fan
by: Parnin, Sulleha, et al.
Published: (2017) -
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
by: Rahman, Sam Matiur, et al.
Published: (2020)