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Adaptive Learning for Stall Pre-cursor Identification and General Impending…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
95073
Program Year/Program:
2010 / STTR
Agency Tracking Number:
N10A-008-0586
Solicitation Year:
N/A
Solicitation Topic Code:
NAVY 10T008
Solicitation Number:
N/A
Small Business Information
Frontier Technology, Inc.
75 Aero Camino Suite A Goleta, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction
Agency / Branch: DOD / NAVY
Contract: N68335-10-C-0441
Award Amount: $69,999.00
 

Abstract:

Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used to detect and predict the stall. Vector Quantization and transfer function models will be used to create the models that estimate engine current conditions. These conditions and in-situ sensor readings are provided to a Neural Network (NN) to predict the occurrence of a stall. Engine data will be provided from GE Aviation will be sued perform both the vector quantization and to train the NN model. The research team has extensive experience working with engine data to detect and diagnose faults and to predict impact on engine performance. Northeastern University has performed a GE-sponsored project to predict engine stalls and other fault events that is closely related to the proposed technology. This effort extends FTI's research into engine failure detection and prediction analysis which has been performed in support of the US Navy and US Air Force.

Principal Investigator:

Gary Key
Principal Investigator
9374293302
gkey@fti-net.com

Business Contact:

Rhonda Adawi
Contracts Manager
8056856672
radawi@fti-net.com
Small Business Information at Submission:

Frontier Technology, Inc.
75 Aero Camino, Suite A Goleta, CA 93117

EIN/Tax ID: 770071221
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Northeastern University
360 Huntington Ave
Boston, MA 2115
Contact: Ibrahim Zeid
Contact Phone: 6173733817