Skip Nav Destination
Advanced Multifunctional Lightweight Aerostructures: Design, Development, and Implementation
By
Kamran Behdinan ,
Kamran Behdinan
University of Toronto, Toronto, Canada
Search for other works by this author on:
Rasool Moradi-Dastjerdi
Rasool Moradi-Dastjerdi
University of Toronto, Toronto, Canada
Search for other works by this author on:
ISBN:
9781119756712
No. of Pages:
256
Publisher:
ASME-Wiley
Publication date:
2021
eBook Chapter
10. Structural Health Monitoring of Aeroengines Using Transmissibility and Bond Graph Methodology
By
Seyed Ehsan Mir-Haidari
,
Seyed Ehsan Mir-Haidari
Department of Mechanical & Industrial Engineering, Advanced Research Laboratory for Multifunctional Lightweight Structures (ARL-MLS), University of Toronto, Toronto, Canada
Search for other works by this author on:
Kamran Behdinan
Kamran Behdinan
Department of Mechanical & Industrial Engineering, Advanced Research Laboratory for Multifunctional Lightweight Structures (ARL-MLS), University of Toronto, Toronto, Canada
Search for other works by this author on:
Page Count:
22
-
Published:2021
Citation
Ehsan Mir-Haidari, S, & Behdinan, K. "Structural Health Monitoring of Aeroengines Using Transmissibility and Bond Graph Methodology." Advanced Multifunctional Lightweight Aerostructures: Design, Development, and Implementation. Ed. Behdinan, K, & Moradi-Dastjerdi, R. ASME-Wiley, 2021.
Download citation file:
In recent years, due to increase in demand for structural safety in various engineering disciplines such as aerospace, researchers have focused on developing vibration-based methodologies for monitoring and detecting structural damage in various structures. Safety and performance of an aging structure is a prominent issue, occurring in aircraft, engines, and public infrastructures. There have been significant recent developments in the field of structural health monitoring (SHM) [1–9]. SHM provides a means to monitor structural safety in a continuous manner. The main objective of SHM can be defined as the assessment and monitoring of the structural safety and operational condition to...
Topics:
Structural health monitoring
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Introduction
Computer Vision for Structural Dynamics and Health Monitoring
Achievements, Challenges, and Opportunities
Computer Vision for Structural Dynamics and Health Monitoring
Related Articles
A New DROS-Extreme Learning Machine With Differential Vector-KPCA Approach for Real-Time Fault Recognition of Nonlinear Processes
J. Dyn. Sys., Meas., Control (May,2015)
Statistical Analysis of Guided Wave Imaging Algorithms Performance Illustrated by a Simple Structural Health Monitoring Configuration
ASME J Nondestructive Evaluation (August,2021)
Use of Time-Series Predictive Models for Piezoelectric Active-Sensing in Structural Health Monitoring Applications
J. Vib. Acoust (August,2012)