Advances in data representation for hard/soft information fusion

Rimland, Jeffrey C.; Coughlin, Dan; Hall, David L.; Graham, Jacob L.

doi:10.1117/12.919208

Cited by 1 publication

(1 citation statement)

References 30 publications

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“…Literature has begun to emerge in some domains 2 . Since 2002, there have been scholarly works published about Level 5 of the JDL data fusion process model 3,4,5,6 as well as about the domains of sense-making 7 , intelligence 8,9,10 , distributed cognition 11 , risk analysis 12,13,14,15 , collaborative sensing 16 , and situation awareness 17 .…”

Section: Introductionmentioning

confidence: 99%

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

Bernardo

2014

Next-Generation Analyst II

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Hard/soft information fusion has been proposed as a way to enhance diagnostic capability for the condition monitoring of machinery. However, there is a limited understanding of where hard/soft information fusion could and should be applied in the condition monitoring of aircraft. Condition-based maintenance refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. The addition of the multisensory capability of human cognition to electronic sensors may create a fuller picture of machinery condition.Since 1988, the Joint Directors of Laboratories (JDL) data fusion process model has served as a framework for information fusion research. Advances are described in the application of hard/soft information fusion in condition monitoring using terms that condition-based maintenance professionals in aviation will recognize. Emerging literature on hard/soft information fusion in condition monitoring is organized into the levels of the JDL data fusion process model. Gaps in the literature are identified, and the author's ongoing research is discussed. Future efforts will focus on building domain-specific frameworks and experimental design, which may provide a foundation for improving flight safety, increasing mission readiness, and reducing the cost of maintenance operations.

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Section: Introductionmentioning

confidence: 99%

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

Bernardo

2014

Next-Generation Analyst II

View full text Add to dashboard Cite

show abstract

Advances in data representation for hard/soft information fusion

Cited by 1 publication

References 30 publications

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

Application of the JDL data fusion process model to hard/soft information fusion in the condition monitoring of aircraft

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