ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

How to Solve the Probabilistic Problem of Reliability by VMEA in an Aircraft Engine Component

13 September 2016, 16:00 – 16:20


Submitted by
Sören Knuts
Sören Knuts (GKN Aerospace Sweden)
The understanding how variation is affecting reliability is an intriguing but necessary task in today’s optimization of new aircraft engines. The Monte-Carlo method is a commonly requested approach to include variation aspects when studying reliability. However, Monte-Carlo limits the analytical understanding of variation, and where to attack a design optimization problem to increase the robustness and reliability of the product. In this article an example is given how VMEA, Variation Mode and Effects Analysis, has been used in order to estimate reliability of an aircraft engine component. VMEA or probabilistic VMEA includes not only variation but also uncertainties, and can be regarded as an alternative formulation of safety factors.
Note: GKN Aerospace is a Tier 1 supplier in the Aerospace business with a large variety of components that is available on more than 90% of all new engines.

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