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Condition-Based Machinery Maintenance

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
18655
Program Year/Program:
1993 / SBIR
Agency Tracking Number:
18655
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ALPHATECH, INC.
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1993
Title: Condition-Based Machinery Maintenance
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $350,000.00
 

Abstract:

Three new techniques have been developed over the past 36 months that offer significant potential for on-board monitoring of mechanical systems to detect and classify incipient failures. The first is the wavelet transform, and its extension to wave packets, as a means for isolating changes in signal structure in terms of scale as well as time. The second is an extension of classical time-series analysis to multiresolution representations of a time signal, with algorithms to estimate characteristic functions of the spectrum of the signal at each resolution. The third is the maturation of artificial neural network technology to the point where it may be reliably considered as an element of an on-board diagnostic system. This effort combines all three into a comprehensive approach to incipient failure detection and classification. The front-end of our proposed classifier extracts novel feature sets offered by the wavelet transform and the multiresolution tLme series spectral estimators. These define a feature space on which a classical neural net classifier may be trained and evaluated.

Principal Investigator:

James C. Deckert
6172733388

Business Contact:

Small Business Information at Submission:

Alphatech, Inc.
Executive Place Iii 50 Mall Rd Burlington, MA 01803

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