Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195413,
author = {Lavanya J and Logeswari A and Nitha A and Vaishnavi M and Dr.K.Sasikala and Mr.T.Saravanan and Mrs.G.Kanmani},
title = {SkySkin Aero Detect Patch – An Embedded Software Framework for Vibration-Based Aircraft Structure Monitoring},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {188-197},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195413},
abstract = {Aircraft structures operate under continuous aerodynamic loads, engine induced vibrations, and changing environmental conditions. Monitoring these structural conditions is essential for maintaining safety and reliable performance. Sky Skin Aero Detect Patch is a lightweight embedded monitoring framework developed for vibration-based structural observation using integrated sensing and software analysis. Vibration measurements are obtained using the ADXL345 three-axis accelerometer, which records acceleration along the X, Y, and Z axes. Environmental parameters including atmospheric pressure, temperature, and altitude are measured using the BMP280 barometric sensor. Sensor data is collected through a microcontroller platform and transferred to a computer through serial communication for further processing. Python-based signal processing techniques are applied to reduce noise and improve data quality. Important vibration features such as peak amplitude and root mean square (RMS) values are extracted to evaluate structural behavior. Real-time graphical visualization enables continuous observation of vibration patterns and environmental variations. The monitoring framework provides a compact and cost-effective solution for observing structural conditions using embedded sensing technologies.},
keywords = {Structural Health Monitoring, Vibration Analysis, Pressure Monitoring, Embedded Systems, Arduino Nano, Real-Time Data Visualization, Anomaly Detection.},
month = {April},
}
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