Advanced Signal Processing Techniques for Vibration Analysis of Rotating Plant Machinery

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 32439
Amount: $80,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1996
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
1940 Elk River Dam Road, Tullahoma, TN, 22901
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ron J. Litchford
 (615) 455-9915
Business Contact
Phone: () -
Research Institution
N/A
Abstract
The occurrence of vibration problems in rotating plant machinery has significant economic implications for aircraft ground-test facilities, and technological advances in predictive maintenance and health monitoring are needed. The increased availability of high-performance low-cost computer equipment combined with advanced high-speed signal processing techniques represent a relatively inexpensive way to increase machine health monitoring and predictive maintenance capabilties. Problems of particular difficulty are the separation of mixed vibratory signals which may overlap in both the time and frequency domains and fault signature identification. The proposed work recommends development of a digital signal processing scheme for fault detection and signature identification using cepstral decomposition of response signals. It is also proposed to develop a scheme for source point identification in a multi-source environment using a neural network technique. The work tasks include coding of the signal processing algorithm and feasibility demonstrations using simulated data. Simplified proof-of-concept experiments area also planned.

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

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