A Data-Driven Health Assessment Method for Electromechanical Actuation Systems

Submission Type: 
Full Paper
Supporting Agencies (optional): 
Seventh European Framework Program-Actuation 2015 Project
AttachmentSizeTimestamp
phmec_16_072.pdf315.68 KBJuly 5, 2016 - 5:14am

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

Publication Year: 
2016
Publication Volume: 
7
Publication Control Number: 
072
Page Count: 
8
Submission Keywords: 
health assessment
algorithms
diagnostic
usage
Submission Topic Areas: 
Data-driven methods for fault detection, diagnosis, and prognosis
Submitted by: 
  
 
 
 

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