If I Only Had a Sweetheart, Just Like You!

https://digitalcommons.library.umaine.edu/mmb-vp/1812/thumbnail.jp

Flower Of The Everglade

https://digitalcommons.library.umaine.edu/mmb-vp/4910/thumbnail.jp

If I Had A Son For Each Star In Old Glory : Uncle Sam, I\u27d Give Them All To You!

https://digitalcommons.library.umaine.edu/mmb-vp/5469/thumbnail.jp

How\u27d You Like To Be My Wife

https://digitalcommons.library.umaine.edu/mmb-vp/3887/thumbnail.jp

If I Could Only Make You Care

https://digitalcommons.library.umaine.edu/mmb-vp/4234/thumbnail.jp

I Wonder Why I Think So Much Of You!

https://digitalcommons.library.umaine.edu/mmb-vp/3968/thumbnail.jp

You\u27re a Grand Old Bell

https://digitalcommons.library.umaine.edu/mmb-vp/5242/thumbnail.jp

Health Monitoring Survey of Bell 412EP Transmissions

Health and usage monitoring systems (HUMS) use vibration-based Condition Indicators (CI) to assess the health of helicopter powertrain components. A fault is detected when a CI exceeds its threshold value. The effectiveness of fault detection can be judged on the basis of assessing the condition of actual components from fleet aircraft. The Bell 412 HUMS-equipped helicopter is chosen for such an evaluation. A sample of 20 aircraft included 12 aircraft with confirmed transmission and gearbox faults (detected by CIs) and eight aircraft with no known faults. The associated CI data is classified into "healthy" and "faulted" populations based on actual condition and these populations are compared against their CI thresholds to quantify the probability of false alarm and the probability of missed detection. Receiver Operator Characteristic analysis is used to optimize thresholds. Based on the results of the analysis, shortcomings in the classification method are identified for slow-moving CI trends. Recommendations for improving classification using time-dependent receiver-operator characteristic methods are put forth. Finally, lessons learned regarding OEM-operator communication are presented

Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool

In this paper we present a new version of a GP financial forecasting tool, called EDDIE 8. The novelty of this version is that it allows the GP to search in the space of indicators, instead of using pre-specified ones. We compare EDDIE 8 with its predecessor, EDDIE 7, and find that new and improved solutions can be found. Analysis also shows that, on average, EDDIE 8's best tree performs better than the one of EDDIE 7. The above allows us to characterize EDDIE 8 as a valuable forecasting tool