Dakota Musso

Dakota Musso
Georgia Institute of Technology | GT · School of Mechanical Engineering

MSME

About

4
Publications
67
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6
Citations

Publications

Publications (4)
Article
Condition-based maintenance programs for modern helicopters rely on algorithmic techniques to estimate the useful life remaining for life-limited components. Regime-recognition-based condition-based maintenance programs involve a regime recognition step and a damage estimation step in which damage is calculated based on the identified regimes. Rece...
Conference Paper
Predicting the probability of dynamic component failure in aircraft is of interest to both civilian and military operators for safe and cost-effective component retirement. While aircraft OEM assumed usage spectra have been used throughout the years for fatigue forecasting and for creation of part replacement timelines, advancements in aircraft reg...
Article
Regime recognition (RR) is an important aspect of condition-based maintenance for modern helicopters. RR involves the postflight classification of flight data into regime categories. These classifications are then used to predict fatigue damage and vehicle usage spectra. Although several RR algorithms have been proposed to date, many suffer from an...
Conference Paper
Regime recognition is a critical tool used for condition-based maintenance, fatigue life prediction, and creation of usage spectra for military and commercial rotorcraft. While a variety of regime recognition algorithms are currently in use, many current algorithms suffer from an over-reliance on training data or poor classification accuracy with r...

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