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Self-Evolving Maintenance and Operations Reasoning

Award Information

Agency:
Department of Defense 		Branch:
Navy 		Award ID:
69920 		Program Year/Program:
2005 / SBIR
Agency Tracking Number:
N041-010-1089 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Impact Technologies, LLC
200 Canal View Blvd Rochester, NY -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2005
Title: Self-Evolving Maintenance and Operations Reasoning
Agency / Branch: DOD / NAVY
Contract: N68335-05-C-0252
Award Amount: $749,780.00
 

Abstract:

Impact Technologies, in collaboration with Intelligent Automation Corporation (IAC), proposes to develop and demonstrate an integrated, agent-based, self-evolving maintenance reasoning system that can effectively utilize PHM system data/information and support an autonomic logistics concept. The Impact/IAC team will develop and implement this concept as a web-based, data management application with associated software agents that provide reinforcement learning capabilities that can act upon dynamic information sources. To accomplish this goal, an innovative approach to database management, self-learning and adaptation are required. It will include the development and integration of many core elements, ranging from model-based reasoning to OSA-CBM interface development, with various sources of data, information and knowledge being considered to obtain a truly intelligent and evolvable maintenance decision support system. One of the key components of the proposed system consists of various reasoning agents and Maintenance Integrated Models (MIM) containing PHM, FMECA, sensor, and maintenance information. In addition, the open systems architecture (OSA) and associated software interfaces to existing JSF asset management systems (i.e. ALIS) and PHM software containing pertinent maintenance and logistics management information will be addressed. Most importantly, the SEMOR system will employ a combination of case-based and Bayesian processes to evolve the underlying Maintenance Integrated Model (MIM) when given maintainer feedback. The SEMOR system will be demonstrated on a propulsion system application with the support of Pratt & Whitney.

Principal Investigator:

Gregory J. Kacprzynski
Manager, Advanced Program
5854241990
greg.kacprzynski@impact-tek.com

Business Contact:

Mark L. Redding
President
5854241990
mark.redding@impact-tek.com
Small Business Information at Submission:

IMPACT TECHNOLOGIES, LLC
200 Canal View Boulevard Rochester, NY 14623

EIN/Tax ID: 161567136
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No