Probabilistic Data Collection
GCAS created the CORRDBMS system used by TACOM for tracking the corrosion of the fielded fleet.
CORRDBMS is unique in its ability to extract corrosion rate information from uncontrolled field
observations. Corrosion field observations suffer from a number of disadvantages compared to controlled
laboratory corrosion tests. Field measurements consist of performing a number of visual inspections of
vehicles over non-uniform time intervals. Frequently, long periods elapse between observations and the
conditions and atmospheric environment vary in both its severity and duration. Vehicle command operation
and maintenance data needed to construct the vehicle's "use" history between observations is often incomplete
and erroneous. CORRDBMS uses a statistical Finite State Machine (FSM) model to represent transitions between
the different corrosion states of the vehicle. Dependencies between similar components and parts on the
vehicle, operational use, road conditions, and environment (corrosion index) are determined using a
multi-variant/multi-regression analysis of the composite assembled data. Maintenance and repair data,
traced to the observed vehicles, are used to calculate Fleet Readiness, Life Cycle Cost and Time to
Repair/Replace under different degrees of corrosion deterioration.
GCAS also developed the AIRS (Aircraft Inspection and Repair System) for aircraft corrosion data
collection under US Air Force contract to automate corrosion maintenance and repair data collection on
the aging C141 aircraft. AIRS is unique in its ability to describe the geometry of the aircraft's surface
and structure in a detailed accurate three dimensional model which is used to precisely pinpoint the
location of the corrosion.