Imaging Acoustic Signature Analyses for Plant Turbo-machinery

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9101-05-M-0027
Agency Tracking Number: F051-304-1955
Amount: $98,803.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-304
Solicitation Number: 2005.1
Small Business Information
9500 Innovation Drive, Manassas, VA, 20110
DUNS: 945837219
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Seibert Murphy
 Principal Investigator
 (703) 368-6107
Business Contact
 Walter Kitonis
Title: President / CEO
Phone: (703) 368-6107
Research Institution
Plant machinery, as well as rotating parts within aircraft, vehicles, and ships needs to be monitored for faults for both safety and economic reasons. Performing maintenance based on hours of operation rather than actual condition can lead to high costs by early replacement of good components and/or problems when a component fails before its time. Used for years for machine health monitoring, acoustic spectral signal analysis is similar to accelerometer-based vibration analysis with the advantage that it is not limited to recording casing vibrations at select locations and the sensor does not have to be attached to the machinery being monitored. Current state-of-the-art, however, has two shortcomings: Conventional Microphone Arrays are expensive, bulky, and considerable time is consumed in setting up an array grid. Systems require an expert human operator to interpret the data from these devices, and therefore is not suitable for automated, online monitoring.Progeny proposed to address these shortcomings by combining a compact, self-steering MEMS Acoustic Sensor Array with acoustic spectral analysis and automatic fault detection algorithms. We will prove the concept and advantage of our approach in Phase I and develop a complete, end-to-end real-time prototype system in Phase II.

* Information listed above is at the time of submission. *

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