Abstract
Current avionics system operates under multifunctional modules designed through integration of highly complex subsystems comprising of sensor boards, Digital Signal Processing (DSP) modules, Field Programmable Gate Array (FPGA) and Microprocessors. Contemporary avionics system induces severe complex combination of thermal and mechanical stresses to perturb the system integrators and interconnections leading to a system failure. The present paper addresses this challenge and proposes analysis driven mechanism to detect the failure of critical components, Printed Circuit Boards (PCBs) and system to arrive at Remaining Useful Life (RUL) under the simulated harsh environment in an aircraft. The research to accurately predict the remaining useful life of the electronic board is being carried in a progressive mode by designing a new methodology of system modeling, simulation and experimentation of the electronic enclosure for temperature profiling and structural integrality has been characterized. The findings of the study establish a reliable prognosis approach to integrate physics-based models & data driven models to get more accurate prediction of failures.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aguilar R, Luu C, Santi Christian Brothers M, Shane Sowers T (2005) Real-time simulation for verification and validation of diagnostic and prognostic algorithms” published at 41st AIAA/ASME/SAE/ASEE joint propulsion conference & exhibit 10 July 2005 – 13 July 2005. AIAA2005- 3717
Ansys Sherlock Theory Reference, Release 2021R2, (2021)
Cheng S, Azarian MA, Pecht MG (2010) Sensor systems for prognostics and health management. Sens J ISSN 1424–8220 published on 8th June 2010.
Feldman K, Sandborn P, Jazouli T (2008) The analysis of return on investment for PHM applied to electronic systems. Proceedings of the International Conference on Prognostics and Health Management, Denver, CO
Gross KC, Whisnant KA, Urmanov AM (2006) Prognostics of electronic components; health monitoring failure prediction, time to failure” Sun Microsystems, San Diego, CA 92121 published in Research Gate Feb 2006
Gu J, Barker D, Pecht M (2009) Health monitoring and prognostics of electronics subject to vibration load conditions. IEEE Sens J 9(11):1479–1485
Gu J, Vichare N, Tracy T, Pecht M (2007) Prognostics implementation methods for electronics. 2007 annual reliability and maintainability symposium 22–25th Jan 2007, IEEE
Humphrey CWD, Vermeire B, Houston J (2004) Prognostic and health management for avionics. IEEE Aerospace conference proceedings (IEEE Cat. No.04TH8720)
Jadhav JJ, Choubhey VK, Chandrashekhar (2022) Failure mitigation methodologies in complex avionics system to reduce maintenance cost “HiSST 2nd International conference on high speed vehicle science and technology, organized by HiSST and CEAS
Johnston SJ, Basford PJ, Perkins CS, Herry H, Tsoc FP, Pezaros D, Mullins RD, Yoneki E, Cox SJ, Singer J (2018) Commodity single board computer clusters and their applications. Futur Gener Comput Syst 89:201–212
Kim BU, Goodman D, Li M, Liu J, Li J (2014) Improved reliability-based decision support methodology applicable in system-level failure diagnosis and prognosis. IEEE Trans Aerosp Electron Syst 50(4):2630–2641. https://doi.org/10.1109/TAES.2014.120637
Kumar S, Pecht M (2010) Modeling approaches for prognostics and health management of electronics. Int J Perform Eng. 6(5):467–476
Pham BT, Agarwal V, Lybeck NJ, Tawfik MS (2012) Prognostic health monitoring system: component selection based on risk criteria and economic benefit assessment ”Idaho National Laboratory, USA, 3rd international conference on NPP life management (PLIM) for long term operations (LTO) INL/CON-11–23571.
Tim Felke George D. Hadden, Golden Valley, David A Miller and Dinkar Mylaraswamy” Integrated Vehicle Health Management “AIAA Infotech@Aerospace 2010 conference 20 - 22 April 2010, Atlanta, Georgia AIAA 2010–3433
Varde PV (2010) Physics-of-failure based approach for predicting life and reliability of electronics components” Research Reactor Services Division, BARC newsletter ISSUE NO 313 MAR. - APR. page 38–46
Vichare N, Tuchband B, Pecht M (2008) Prognostics and health monitoring of electronics. In: Misra KB (ed) Handbook of performability engineering. Springer, London. https://doi.org/10.1007/978-1-84800-131-2_67
Vogl GW, Weiss BA, Helu M (2016) A review of diagnostic and prognostic capabilities and best practices for manufacturing. J Intell Manuf. https://doi.org/10.1007/s10845-016-1228-8
Acknowledgements
We sincerely acknowledge the contribution of Dr C.M. Ananda – Head (Avionics and Electrical division), Dr N. Chandra – Structures Division, Mr. Sunil Prasad and Mr. Arul Paligan of National Aerospace Laboratories, Bangalore for their valuable technical assistance in simulation and experiments.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The Authors have no relevant financial or non-financial interest to disclose. All the authors have no conflict of interest that are relevant to this article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Jadhav, J.J., Chaubey, V.K. & Chandrashekhar Predictive Modeling to Assess the Remaining Useful Life of Electronic Boards in Complex Avionics Systems. Trans Indian Natl. Acad. Eng. (2024). https://doi.org/10.1007/s41403-024-00477-4
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s41403-024-00477-4