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The ESCAT Inspection software contains 3-D models of the tanks including details such as hatches, ladders, piping, etc which are prone to corrosion. Using plan views of the different levels within the ship, the software provides a virtual tour of the ship showing fast and accurate information of the damage observed during inspection. A general 1 to 4 rating scale is used to determine if the coating deterioration is bad enough to be called a failure. The software features a “Google-Map” type interface using the 3-D models for quick retrieval of the inspection reports, photos and voice recordings by clicking on a tank or location within the tank.
The collected inspection data is uploaded and stored in the Navy’s Corrosion Control Information Management System (CCIMS) database for further analysis and maintenance decision-making. This fleet-wide historical database contains data where the previous corrosion state before failure may be unknown (late entries) or where there is no failure event since the tank was last refurbished (“loss”). Censoring techniques developed for reliability analysis and forecasting are used to include these points into a non-parametric statistical Turnbull Maximum Likelihood Estimate” (MLE).
These estimated data points are assembled and faired with a parametric Weibull probability distribution curve-fit that is normally used in Engineering reliability and failure analysis. These parametric curves provide the bases for predicting when the different types of service tanks may fail, thereby giving the maintenance and repair planning group the needed forecasting tool for deciding which tanks should be refurbished during the next availability.