IOT based data acquisition and Machine Learning techniques for prognostics and health management of Aircraft Systems
2022-26-1164
05/26/2022
- Event
- Content
- Aircraft systems fail in field resulting into field replacement and aircraft dispatch delays. The delay in aircraft dispatch due to system field failures can be reduced by monitoring the health of frequent failing systems and predicting their failure. This paper discusses about development of an IOT based analytics application for aircraft system health management. In this solution a reliable and secure IOT architecture for PHM data acquisition is proposed aligned to system’s Aerospace recommended practices and development guidelines. The paper discusses the solution for performing PHM analytics using Machine Learning techniques and presents the benefits of using these new algorithms over previous PHM algorithms. It also discusses about setting up of distributed infrastructure over an aircraft for performing the PHM analytics. The key conclusion with respect to opportunities and challenges in developing and deploying such IOT based analytics system on board an aircraft are summarized.
- Citation
- Jha, A., Sanga, S., and Vadada, D., "IOT based data acquisition and Machine Learning techniques for prognostics and health management of Aircraft Systems," SAE Technical Paper 2022-26-1164, 2022, .