Advanced Multi-Source Digital Signal Processing And Analysis For Characterization Of Vibrations In Turbo-Machinery Blades
Navy SBIR FY2006.2


Sol No.: Navy SBIR FY2006.2
Topic No.: N06-112
Topic Title: Advanced Multi-Source Digital Signal Processing And Analysis For Characterization Of Vibrations In Turbo-Machinery Blades
Proposal No.: N062-112-0170
Firm: Experimental Design & Analysis Solutions, Inc.
278 Franklin Road
Suite 260
Brentwood, Tennessee 37027
Contact: Kurt Nichol
Phone: (615) 370-0081
Web Site: www.edasinc.com
Abstract: The work proposed here seeks to integrate data from NSMS, strain gage data acquisition systems and analytical models so that the time required to perform product evaluation is reduced and accuracy of the result is improved. Experimental Design & Analysis Solutions, Inc. (EDAS, Inc.) will build upon it significant experience in holistic HCF test and evaluation, data acquisition, and data analysis to develop and market an easy-to-use interface that integrates these three data sources. Basic building blocks to be used as the elements of integration are the EDAS-DS data acquisition product, the EDAS GageMapII finite element and test interface product, and the U.S. Air Force developed Generation IV NSMS technology acquired through a pending cooperative research and development agreement (CRDA) with the Arnold Engineering Development Center. Phase I of our proposal seeks to demonstrate and document the information interfaces between the three data sources and resolve reference frame, coordinate system, and time basis differences. Phase II of the proposal will extend the application to a rig test of a to-be-identified JSF test article and will initiate commercialization of the analysis product to include provisions for interface to any desired manufacturer of NSMS or strain gage data acquisition products.
Benefits: Integration of NSMS, "tip timing", strain gage data and analytical data will improve the intepretation of test data for evaluation of product design intent. The final product will simplify and reduct the time required to understand strain gage and NSMS data. This technology and the resulting commercial product will have application to all DoD and commercial tubomachinery applications, as well as benefits to health monitoring, and prognostics.

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