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Energetic Material/ Systems Prognostics

Authors: D.K. Han; M.G. Pecht; D.K. Anand; R. Kavetsky;

Energetic Material/ Systems Prognostics

Abstract

The US military and weapons industries require their weapon systems to be reliable. As inexpensive miniaturized sensors and affordable simulation tools have become available, the prognostics method has begun to attract the attention of engineers seeking a new way to increase and optimize system reliability. This paper presents the tools currently available and being developed for prognostics of military energetic systems. Key elements of the study were assessments of available energetic material models, as well as current and future sensors for monitoring the health of energetic systems. A roadmap for developing prognostic methodologies is proposed

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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