Ryan Lowe
Air Force Research Laboratory
27 Papers
285 Citations
Ryan Lowe is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Prognostics & Shock (mechanics). The author has an hindex of 10, co-authored 27 publications. Previous affiliations of Ryan Lowe include Auburn University & Electronics Research Center.
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Papers
Prognostics Health Management of Electronic Systems Under Mechanical Shock and Vibration Using Kalman Filter Models and Metrics
TL;DR: The presented approach enables the estimation of residual life based on level of risk averseness in high reliability applications where the knowledge of impending failure is critical and the risks in terms of loss of functionality are too high to bear.
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Prognostics using Kalman-Filter models and metrics for risk assessment in BGAs under shock and vibration loads
Pradeep Lall,Ryan Lowe,Kai Goebel +2 more
- 01 Jun 2010
TL;DR: In this article, structural damage to BGA interconnects incurred during vibration testing has been monitored in the pre-failure space using resistance spectroscopy based state space vectors, rate of change of the state variable, and acceleration of state variable.
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Extended Kalman Filter models and resistance spectroscopy for prognostication and health monitoring of leadfree electronics under vibration
Pradeep Lall,Ryan Lowe,Kai Goebel +2 more
- 20 Jun 2011
TL;DR: In this article, a technique has been developed for monitoring the structural damage accrued in BGA interconnects during operation in vibration environments, which can provide knowledge of impending failure in high reliability applications where the risks associated with loss-of-functionality are too high to bear.
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Resistance spectroscopy-based condition monitoring for prognostication of high reliability electronics under shock-impact
Pradeep Lall,Ryan Lowe,Kai Goebel +2 more
- 26 May 2009
TL;DR: In this article, the high-frequency characteristics and system transfer function based on resistance spectroscopy measurements have been correlated with the damage progression in electronics during shock and vibration, and statistical pattern recognition techniques have been used to identify damage initiation and progression.
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Extended Kalman Filter Models and Resistance Spectroscopy for Prognostication and Health Monitoring of Leadfree Electronics Under Vibration
TL;DR: In this paper, a technique for monitoring the structural damage accrued in ball grid array interconnects during operation in vibration environments is presented, which can provide knowledge of impending failure in high reliability applications where the risks associated with loss-of-functionality are too high to bear.
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