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Contracting Agency: U.S. Navy
Point of Contact: solutions@kbsi.com

Overview

With the Navy tasked to reduce overall ship maintenance costs and transition towards a more cost effective condition-based maintenance schedule, high-cost high-duration periodic maintenance events are being eliminated for faster corrosion detection methods and predictive condition-based systems.

The goal of the SHIP project was to develop condition-based maintenance procedures and models for detecting paint coating thickness on ship hulls. This technological capability enabled closed loop control for cathodic protection systems, thus increasing the operational life of the ship’s hull and reducing the ship’s life cycle maintenance costs.

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Using sensor data from KBSI’s corrosion laboratory, several testing methods were developed and fielded including (1) Electrostatic tomography hull condition; (2) Using sensor arrays for the detection of the current vector in the seawater electrolyte; (3) Utilizing a moving anode to measure impressed current cathodic protection (IICP current); and (4) Monitoring “Ship Capacitance” transient response.

By utilizing the new methods developed for targeted hull inspection and assessment, the SHIP project resulted in a substantial savings in maintenance costs through enhanced operational readiness, improved condition-based maintenance planning including extending dry docking maintenance intervals for the ship’s hull, and faster hull inspection assessments.

 

Knowledge Based Systems, Inc.
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