Prevention of Corrosion for Navy Aviation

Management Sciences, Inc. scientists have developed Cognitive Bayesian Information Exploitation (CBNX), a revolutionary set of algorithms that apply context frames as filters to learn causal relationships needed to understand and exploit the meaning of data. We have applied the CBNX toolset to develop real time situation awareness of the health of aircraft engines, forest fires, and intelligent management of platform electrical power systems. We propose new research and development that will exploit the toolset to develop automated an automated toolset with predictive algorithms and data mining techniques to determine optimal maintenance actions incorporating level, severity, and frequency of corrosion events by aircraft. This new research will apply the toolset to provide automated intelligence data fusion at level 3 “understanding” and expand this to provide stochastic predictive intelligence algorithms for statistically accurate and timely corrosion situation awareness that continually improves.