SBIR Phase I: A Novel Solution for Sensor Degradation Detection in Information Technology Systems

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0712293
Agency Tracking Number: 0712293
Amount: $99,958.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: IT
Solicitation Number: NSF 06-598
Small Business Information
EDAptive Computing, Inc.
1245-G Lyons Road, Suite 245, dayton, OH, 45458
DUNS: 031764616
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Michael Kinsey
 MS
 (937) 433-0477
 m.kinsey@edaptive.com
Business Contact
 Michael Kinsey
Title: MS
Phone: (937) 433-0477
Email: m.kinsey@edaptive.com
Research Institution
N/A
Abstract
This Small Business Innovation Research (SBIR) Phase I research project focuses on techniques to enhance the reliability and performance of sensor networks. Incipient sensor degradation can lead to inaccurate diagnostic results and ineffective control actions in an Information Technology (IT) system. This research proposes to establish the feasibility whether sensor degradation algorithms using analytical redundancy approach, can be integrated with model-based monitoring methodologies. Specifically, the proposed research will be based on the following techniques: 1) detecting sensor degradation in a monitored system; and 2) model-based system monitoring, diagnosis and prognosis. This project will impact the maximizing of the life of sensor-based device and applications, thus providing better maintenance support through the diagnosis of sensor failures. Specifically, the proposed integrated software will fill the gap between many existing distributed sensor networks within IT infrastructure and machine level operations. The work will provide a solution to significantly enhance information technology infrastructures by adaptively detecting system fault and sensor degradation.

* information listed above is at the time of submission.

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