SBIR/STTR Research Award
Innovative Foreign Object Damage (FOD) Detection and Identification Technology for Military Turbine Engines
Award amount
$79,806Program and phase
SBIR · Phase IAward year
2010Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- Cognitive Vision, Inc.
- Proposal award date
- 2010-01-19
- Contract end date
- 2010-07-19
- UEI
- Q7BLLBXANZX3
- Solicitation number
- 2009.3
- Topic code
- N093-183
Research abstract
There are four milestone categories CV will focus attention on for this proposal; „X Implementation of an optical phase sensor. „X Addition of micro-acoustic wide-band sensors to better monitor the stators. „X Performing FOI testing on the CV rotor Kit or blisk based rotor kit available „X Software development. An optical phase sensor will be incorporated into the basic instrumentation which includes vibration monitoring, and will require developing an on-wing variant of the existing CV400 key phaser product line. This will be the instrumentation basis for the combined phase and magnitude approach to FOI detection. CV equipment and software has been used for phase analysis throughout industry for many years. Cognitive Vision¡¦s VibeSurvey software is the standard used by the U.S. Navy and other navies for the GE LM2500 fleet, and BalancePro is a standard for commercial aviation, as well as the KC10 fleet and other Air Force aircraft. Both provide real-time phase and magnitude information to the operator/analyst. Cognitive Vision employs two different methods of transfer function and phase calculation, and study/analysis will be needed to determine the most appropriate methodology.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Innovative Foreign Object Damage (FOD) Detection and Identification Technology for Military Turbine Engines
- Foreign Object Damage Detection With The Prime FOCIS System
- Foreign Object Damage Detection With The Prime FOCIS System