A Hybrid Model for Aero-engine Health Assessment Based on Condition Monitoring Information
Abstract:
This study models the aero-engine health assessment problem
as a Multi-Criteria Decision Making (MCDM) problem and proposes a two-step evaluation
model, combining the technique of fuzzy AHP (fuzzy analytic hierarchy process)
and TOPSIS (technique for order performance by similarity to idea solution).
This study applies the fuzzy AHP method to determine relative weights of multiple
evaluation criteria and synthesize the ratings of candidate aero-engines. Aggregated
the evaluator’s attitude toward
preference, then TOPSIS is employed to obtain a crisp overall performance value
for each alternative to make a final decision. To illustrate how the approach
is used for the aero-engine health assessment problem, an empirical study of
a real case involving eleven evaluation criteria and ten initial commercial
aero-engines of Air China is conducted. The case study demonstrates the effectiveness
and feasibility of the proposed evaluation procedure.
How to cite this article
Gang Li, Yajing Wang and Zhenguo Ba, 2013. A Hybrid Model for Aero-engine Health Assessment Based on Condition Monitoring Information. Journal of Applied Sciences, 13: 5524-5526.
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