Expert System for Mine Burial Prediction
Abstract
The objective of the present effort is to enact an expert systems approach to mine burial prediction. The current generation of deterministic, physics-based models provides only a partial representation of the total complex burial processes. In addition, the MCM planner often has limited knowledge of the mine deployment and environmental conditions. Therefore, a probabilistic predictive structure is appropriate. An expert system that synthesizes the current state of knowledge on mine burial behavior has been developed. This model incorporates standard models for mine burial prediction along with improved physics-based models which were developed during the ONR Mine Burial Program (ONRMBP), as well statistical relationships derived from field observations obtained from both ONR-MBP and NATO projects. A major goal of this effort, as set forth in the ONR/NAVOCEANO Technology Transition Agreement (TTA), is to transition the MBES into the Environmental Post-Mission Analysis (EPMA) workstation being developed at the NAVOCEANO Warfighting Support Center. Efforts directed towards fulfillment of the transition criteria have focused on documentation of the validation assessment of the MBES predictive performance as well as documentation of the operational shell used by NAVOCEANO to provide input and output connectivity with the expert system. The impact portion of the MBES comprised part of the US contribution to the NATO Naval Group 3 (now Military Capabilities Group 3) Specialist Team for Sea Mine Burial Expert System (ST-SMBES). Further research into the scour portion of the expert system is continuing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2007
- Accession Number
- ADA514902
Entities
People
- Alan Brandt
- Sarah Rennie
Organizations
- Johns Hopkins University