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Pattern Recognition for Aircraft Maintainer Troubleshooting

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
67472
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
F041-051-0356
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: Pattern Recognition for Aircraft Maintainer Troubleshooting
Agency / Branch: DOD / USAF
Contract: FA8650-04-M-6507
Award Amount: $99,728.00
 

Abstract:

The CAMS/GO-81 databases contain massive amounts of historical maintenance data that is unusable in the present form. The primary barrier to effectively using this data for troubleshooting purposes is the "free form" nature of the text fields that describe discrepancies and corrective actions. These text fields contain a wide array of "noisy" data and artifacts that prevent the effective query and search of the database without pre-processing and filtering of the data. The proposed approach seeks to develop a system that functions as a middleware application and enables the maintainer to retrieve useful legacy data in a format that is most useful for the maintenance environment. By using a data mining approach that is a hybrid collection of artificial intelligence (AI) techniques along with concepts from the field of natural language processing (NLP) it is possible to extract useful information from CAMS/GO-81. A combined hybrid approach is proposed since no single technique alone will provide the functionality that is necessary. The proposed approach will enable the Air Force to leverage this legacy data and to deploy a system that will evolve in strength as the system "learns" from the maintainers cognitive processes.

Principal Investigator:

James L. Grimsley
President
4055147365
jgrimsley@design-ii.com

Business Contact:

James Grimsley
President
4058720177
jgrimsley@design-ii.com
Small Business Information at Submission:

DESIGN INTELLIGENCE, INC.
8901 72nd St. Noble, OK 73068

EIN/Tax ID: 753103675
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No