INTELLIGENT BUILT-IN-TEST MODULE

Award Information
Agency:
Department of Defense
Amount:
$46,098.00
Program:
SBIR
Contract:
N/A
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Navy
Award Year:
1988
Phase:
Phase I
Agency Tracking Number:
8470
Solicitation Topic Code:
N/A
Small Business Information
Daina
4960 Fillmore St Ne, Columbia Heights, MN, 55421
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 JANIS PUKITE
 (612) 781-7600
Business Contact
Phone: () -
Research Institution
N/A
Abstract
FUTURE MILITARY AVIONICS SYSTEMS WILL BE DEPENDING MORE ON BUILT-INTEST (BIT) FOR FAULT DETECTION AND ISOLATION TO MEET STRINGENT RELIABILITY, MAINTAINABILITY, AND SUPPORTABILITY GOALS. RECENT EXPERIENCE INDICATES THAT BIT IS NOT MEETING SPECIFICATION REQUIREMENTS IN FIELD OPERATIONS, EXHIBITS A HIGH FALSE ALARM RATE, HAS LOW RELIABILITY, AND IS UNABLE TO ISOLATE FAILURES TO A SINGLE MODULE. AS A RESULT, GOOD UNIT REMOVAL RATE HAS BEEN HIGH, REDUCING SYSTEM AVAILABILITY AND INCREASING MAINTENANCE COSTS. DAINA PROPOSES TO INVESTIGATE THE FEASIBILITY OF AN INNOVATIVE, HIERARCHICALLYSTRUCTURED, MODULAR, AND ADAPTIVE BIT DESIGN CONCEPT COMPATIBLE WITH THE NEXT-GENERATION AVIONICS ARCHITECTURE. THE USE OF STATISTICAL SYSTEM STATE AND PARAMETER ESTIMATION TECHNIQUES WILL BE EVALUATED TO DETERMINE THEIR SUITABILITY FOR DECREASING THE FALSE ALARM RATE. THE PROPOSED APPROACH WILL BE UNIQUE IN THAT IT WILL USE EXTERNAL ENVIRONMENT DATA, ON-LINE RELIABILITY MODELS, SIGNAL FUSION, AND ARTIFICIAL INTELLIGENCE TECHNIQUES TO IMPROVE FAULT DIAGNOSIS. SUCCESSFUL COMPLETION OF THE PHASE I EFFORT WILL PROVIDE FOUNDATION FOR THE PHASE II PROTOTYPE DEVELOPMENT TO FURTHER REFINE THE SELECTED BIT IMPLEMENTATION CONCEPTS.

* information listed above is at the time of submission.

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