Authors :
Sudireddy Kavya; Kasarapu Akshitha; Vanamala Meghana; Gunda Shiva Krishna
Volume/Issue :
Volume 11 - 2026, Issue 3 - March
Google Scholar :
https://tinyurl.com/4ptjktmb
Scribd :
https://tinyurl.com/mrxp7bsm
DOI :
https://doi.org/10.38124/ijisrt/26mar1919
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
By examining the intelligent sensor technologies to enhance predictive maintenance and structural health
monitoring (SHM) significantly improving safety, efficiency, and reliability. These advanced sensor systems—comprising
fibre optic sensors, piezoelectric sensors, MEMS (Micro- Electric-Mechanical Systems), and smart sensors — enable realtime monitoring of critical parameters such as strain, temperature, vibration, and pressure across various aircraft
components. By using ANSYS WORKBENCH a flat plate with crack and without crack is designed and static structural
analysis and modal analysis is performed so that the frequencies are compared to detect the failure. The sensors can detect
changes in strain, fatigue and other stress indicators that may compromise structural safety.
Keywords :
Intelligent Sensors, Structural Health Monitoring, Predictive Maintenance, FEA, Static, Modal Analysis, ANSYS.
References :
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- Zhu, X.,Wang, Q.,Ursenbach, A.,Rao, M., et al, ‘ Intelligent maintenance support system for Syncrude mining trucks’, Proceedings of the 1993 Canadian Conference on Electrical and Computer Engineering, IEEE, Vancouver, Canada, September 1993, pp. 1217–1220.
By examining the intelligent sensor technologies to enhance predictive maintenance and structural health
monitoring (SHM) significantly improving safety, efficiency, and reliability. These advanced sensor systems—comprising
fibre optic sensors, piezoelectric sensors, MEMS (Micro- Electric-Mechanical Systems), and smart sensors — enable realtime monitoring of critical parameters such as strain, temperature, vibration, and pressure across various aircraft
components. By using ANSYS WORKBENCH a flat plate with crack and without crack is designed and static structural
analysis and modal analysis is performed so that the frequencies are compared to detect the failure. The sensors can detect
changes in strain, fatigue and other stress indicators that may compromise structural safety.
Keywords :
Intelligent Sensors, Structural Health Monitoring, Predictive Maintenance, FEA, Static, Modal Analysis, ANSYS.