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Enhanced Prognostic Model for Digital Electronics

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
75258
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
N052-093-0307
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive suite 400 Rockville, MD 20855-2735
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Enhanced Prognostic Model for Digital Electronics
Agency / Branch: DOD / NAVY
Contract: N68335-06-C-0088
Award Amount: $80,000.00
 

Abstract:

The ability to predict failures in aircraft electronic boards, their digital component elements and devices have the potential to reduce the risks of unanticipated failures while significantly reduce support costs. In this proposal, Intelligent Automation, Inc. (IAI) and Computer Aided Life Cycle Engineering (CALCE) Electronic Products and Systems Center (EPSC) at the University of Maryland propose an enhanced life consumption monitoring methodology for digital electronic boards and their components. Our approach involves a novel process to conduct Life Consumption Monitoring (LCM), including failure modes and mechanisms analysis (FMMA), virtual reliability assessment, sensor data pre-processing/feature selection, fault detection/identification/isolation, stress and damage accumulation analysis, and remaining life estimation. Meanwhile, the prediction output will be associated with a confidence distribution and adjusted by Support Vector Machine (SVM) and Confidence Prediction Neural Network (CPNN). Key advantages include better prediction of Remaining Useful Life than conventional methods, better prediction of some key parameters (thermal cycles and vibration loads) into the future so that prognostics information can be improved, incorporation of a simplified model that can provide "what if" predictions, and a data driven approach to improve the confidence of the overall predictions.

Principal Investigator:

Chi-Man Kwan
VP of Research & Development
3012945238
ckwan@i-a-i.com

Business Contact:

Mark James
Contract & Proposals Manager
3012945221
mjames@i-a-i.com
Small Business Information at Submission:

INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400 Rockville, MD 20855

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No