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Failure Precursors and Anomaly Detection in Complex Electrical Systems Using…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
75005
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
N043-258-0631
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive suite 400 Rockville, MD 20855-2735
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Failure Precursors and Anomaly Detection in Complex Electrical Systems Using Symbolic Dynamics
Agency / Branch: DOD / NAVY
Contract: N68335-05-C-0096
Award Amount: $80,000.00
 

Abstract:

Failures in a plant's electrical components are a major source of performance degradation and plant unavailability. In order to detect and monitor failure precursors and anomalies early in electrical systems, we propose to develop signal processing capabilities that can detect and map patterns in already existing, available signals to an anomaly measure. Toward this end Professor Asok Ray at Penn State University has pioneered an elaborate mathematical theory of "language measure" based on real analysis, finite state automaton, symbolic dynamics and information theory. Application of this theory for anomaly detection results in a robust statistical pattern recognition technique. This technique is superior to conventional pattern recognition techniques such as neural networks and principal component analysis for anomaly detection because it exploits a common physical fact underling most anomalies which conventional techniques do not. This superiority has recently been demonstrated on electrical circuits, lasers and in mechanical components. The objectives of the research proposed by Intelligent Automation Incorporated (IAI) and its subcontractor are: (i) to develop real-time anomaly sensing and monitoring systems for early detection of faults in avionic electrical systems; and (ii) to experimentally validate the proposed concept on an active nonlinear electrical circuit.

Principal Investigator:

Chiman Kwan
Vice President of R & D
3012945238
ckwan@i-a-i.com

Business Contact:

Mark James
Contract Manager
3012945221
mjames@i-a-i.com
Small Business Information at Submission:

INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400 Rockville, MD 20855

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No