ACC believes its current methodology for predicting the reliability
of its Air Launched Cruise Missile (ALCM) and Advanced Cruise
Missile (ACM) stockpiles could be improved. They require a
predictive model that delivers the best possible 24-month
projection of cruise missile reliability using existing data
sources, collection methods and software. It should be easily
maintainable and developed to allow a layperson to enter updated
data and receive an accurate reliability prediction. The focus of
this thesis is to improve upon free flight reliability, although
the techniques could also be applied to the captive carry portion
of the missile reliability equation. The following steps were taken
to ensure maximum accuracy in model results. 1. Add more detail to
flight test reliability calculation. 2. Convert the ground test
data into a usable form (reduce). 3. Engage in an exercise in
feature selection. 4. Develop a Matlab model prototype. 5. Validate
the model via problems with known solutions. 6. Apply an
appropriate data fusion technique to the different network outputs
(logistic regression, feed-forward and radial basis function). 7.
Put the model into the form of a usable tool for the end-user. The
end product is the ALCM/ACM Reliability Estimation System (AARES),
a VBA-based model that meets all user criteria.
General
| Imprint: |
Biblioscholar
|
| Country of origin: |
United States |
| Release date: |
November 2012 |
| First published: |
November 2012 |
| Authors: |
Donald L. Hoffman
|
| Dimensions: |
246 x 189 x 7mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
124 |
| ISBN-13: |
978-1-288-33212-0 |
| Categories: |
Books >
Social sciences >
Education >
General
Promotions
|
| LSN: |
1-288-33212-2 |
| Barcode: |
9781288332120 |
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