An Integrated Phenomenological and Physics-based framework for Multi-Sensor Vibration Analysis

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: Fa9101-08-M-0022
Agency Tracking Number: F073-135-1275
Amount: $99,995.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: AF073-135
Solicitation Number: 2007.3
Small Business Information
6022 Constitution Avenue NE, Albuquerque, NM, 87110
DUNS: 094142122
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Carl Stern
 Senior Research Scientist
 (505) 255-8611
 carl_stern@mgtsciences.com
Business Contact
 Marlene Blemel
Title: President
Phone: (505) 255-8611
Email: kay_blemel@mgtsciences.com
Research Institution
N/A
Abstract
Management Sciences has developed a layered algorithmic framework for high dimensional data analysis and fault detection focusing on multi-sensor vibration data. Processing modes include signal processing, factor analysis, source separation, feature extraction, classification, and Bayesian contextualization. These are applied dynamically to support online health monitoring and prognostic health management. Our existing approach, called “Data Driven Diagnostics and Prognostics”, is based on a physics-free “phenomenological” methodology for characterizing the vibration signatures associated with normal and fault states, for detecting and classifying unknown states through their vibration and related sensor signatures, and for tracking progressions to failure. This phenomenological approach has been successfully applied and tested on a workbench including power supply, motor, drive shaft, gears, couplings, pump, and valves. This proposed research project would develop and extend this technology in two ways. First, we would integrate our current phenomenological approach with a physics (kinematics and geometry)–based approach for correlating vibration frequencies, magnitudes, and energies with the relevant excitatory phenomena including fault modes. Second, we would extend our existing application domain to high speed turbo-machinery, making the necessary adaptations and modifications to address the challenges associated with a multiplicity of operational and transitional states and the potential for short event horizons.

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

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