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Intelligent Sensor Technologies for Predictive Maintenance and Structural Health Monitoring Using ANSYS WORKBENCH


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

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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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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.

Paper Submission Last Date
30 - April - 2026

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