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An Integrated Phenomenological and Physics-based framework for Multi-Sensor…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Management Sciences, Inc.
6022 Constitution Ave., NE Albuquerque, NM 87110-
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2008
Title: An Integrated Phenomenological and Physics-based framework for Multi-Sensor Vibration Analysis
Agency / Branch: DOD / USAF
Contract: Fa9101-08-M-0022
Award Amount: $99,995.00


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.

Principal Investigator:

Carl Stern
Senior Research Scientist

Business Contact:

Marlene K. Blemel
Small Business Information at Submission:

6022 Constitution Avenue NE Albuquerque, NM 87110

EIN/Tax ID: 850247732
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No