Improved prognostic/diagnostic tools for fault-tolerant data buses

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-05-M-2565
Agency Tracking Number: F051-180-2314
Amount: $99,969.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-180
Solicitation Number: 2005.1
Small Business Information
RIDGETOP GROUP, INC.
6595 North Oracle Road, Suite 153B, Tucson, AZ, 85704
DUNS: 157955597
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Terry Fruehling
 Principal Investigator
 (520) 742-3300
 terry@ridgetop-group.com
Business Contact
 Douglas Goodman
Title: President and CEO
Phone: (520) 742-3300
Email: doug@ridgetop-group.com
Research Institution
N/A
Abstract
Ridgetop believes the technological advances in Prognostics and Built-in Self Test (BIST) can play a pivotal role in enabling the host electronic control unit (ECU) and its subsystems to assess their own viability and make on-the-fly corrections as required, or a transfer to redundant units. For critical applications such as FADEC systems, these techniques could offer improvements in operational reliability and perform, The Objective of this SBIR is to develop efficient redundancy management architectures for electronic engine and aerospace controls. The approach explored in this proposal will be to exploit concurrent self-testing architectures (concurrent Built In Self Test - BIST) rather that than strict adherence to using multiple redundancies of either hardware building blocks or software modules. The concept vision realizes that technology now exists that can produce a Self Deterministic (SD) Electronic Control Unit (ECU) for the host application. A Self Deterministic ECU (SD-ECU) can accurately assess its own State Of Health (SOH), it does not need to have a voting process take place among multiple peer ECUs for this determination to take place This Proposal will focus on one aspect of making the SD-ECU a reality. The development of a scaleable, concurrent, Data Stream Monitor.

* information listed above is at the time of submission.

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