A Data-Driven Health Assessment Method for Electromechanical Actuation Systems

  1. Isturiz, Aitor 1
  2. Aizpurua, Jose Ignacio 2
  3. Hernández, Fidel E. 3
  4. Iturrospe, Aitzol 2
  5. Muxika, Eñaut 2
  6. Viñals, Javier 1
  1. 1 SENER Engineering & Systems
  2. 2 Universidad de Mondragón/Mondragon Unibertsitatea
    info

    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

  3. 3 Higher Polytechnic Institute Jose Antonio Echeverria, La Havana, Cuba
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Actas:
PHM Society European Conference

Editorial: Prognostics and Health Management Society

ISSN: 2325-016X

Año de publicación: 2016

Volumen: 3

Número: 1

Congreso: 3rd European Conference of Prognostics and Health Management Society. Bilbao. 5-8 July, 2016

Tipo: Aportación congreso

DOI: 10.36001/PHME.2016.V3I1.1670 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

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 runto-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.