The design of health assessment applications for the electromechanical actuation system of the aircraft is a challenging task. Physics-of-failure models involve non-linear complex equations which are further complicated at the system-level. Data-driven techniques require run-to-failure tests to predict the remaining useful life. However, components are not allowed to run until failure in the aerospace engineering arena. Besides, when adding new monitoring elements for an improved health assessment, the airliner sets constraints due to the increased cost and weight. In this context, the health assessment of the electromechanical actuation system is a challenging task. In this paper we propose a data-driven approach which estimates the health state of the system without run-to-failure data and limited health information. The approach combines basic reliability theory with Bayesian concepts and obtained results show the feasibility of the technique for asset health assessment.
|Title of host publication||Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016|
|Editors||Ioana Eballard, Anibal Bregon|
|Place of Publication||Bilbao|
|Number of pages||8|
|Publication status||Published - 8 Jul 2016|
|Event||Third European Conference of the Prognostics and Health Management Society 2016 - Bilbao, Spain|
Duration: 5 Jul 2016 → 8 Jul 2016
|Conference||Third European Conference of the Prognostics and Health Management Society 2016|
|Period||5/07/16 → 8/07/16|
- health assessment applications
- data-driven techniques
- reliability theory
Isturiz, A., Aizpurua, J. I., Hernández, F. E., Iturrospe, A., Muxika, E., & Viñals, J. (2016). A data-driven health assessment method for electromechanical actuation systems. In I. Eballard, & A. Bregon (Eds.), Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016 (pp. 686-694).