Real-Time Integrity/Durability Monitoring of Composite Structures Using a Fiber Optic Sensor System and Neural Network Processing

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$49,824.00
Award Year:
1993
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
19808
Agency Tracking Number:
19808
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
10016 S. 51st Street, Phoenix, AZ, 85044
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Ken Lou
(602) 893-6245
Business Contact:
() -
Research Institution:
n/a
Abstract
The overall objective of this project is to develop a reliable, low-cost neural network architecture for sensors, and real-time processing to continuously monitor the structural health of the thick composite structure used in armored vehicles. The Phase I demonstration will be implemented with advanced fiber optic sensors for acquiring health and status data from a sample composite structure, a monitoring architecture for interconnecting the sensors, and use of advanced neural network techniques for learning the composite structure characteristics and discerned changes in the structural health of the composite. A team with expertise in composite materials, embedded fiber optic sensors, neural networks, and computer systems proposes to produce a proof-of-concept prototype using real hardware. The Phase I success is ensured through the leveraging of existing R&D by using fiber optic sensor prototypes developed at FIMOD, thick composite technology developed at Simula, and the neural network implementations of Sedona Scientific.

* information listed above is at the time of submission.

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