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EXPERIMENTAL DESIGN & ANALYSIS SOLUTIONS, INC.
UEI: X1WYA1ZJC916
# of Employees: 12
HUBZone Owned: No
Socially and Economically Disadvantaged: No
Woman Owned: No
Award Charts
Award Listing
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Applying AI for Intelligent Response Detection in the Presence of Noise
Amount: $49,968.00APEX Turbine, in collaboration with Intelligent Artifacts, will apply artificial intelligence to reduce data analysis time and improve effectiveness of engine testing. AI software will be applied to ...
SBIRPhase I2021Department of Defense Air Force -
Machine Learning of Part Variability for Predictive Maintenance
Amount: $499,993.47High Cycle Fatigue (HCF) characterization and maintenance accounts for a significant portion of the overall life cycle cost of most military propulsion systems. A key variable that drives HCF margin ...
STTRPhase II2020Department of Defense Air Force -
Machine Learning of Part Variability for Predictive Maintenance
Amount: $499,993.00High Cycle Fatigue (HCF) characterization and maintenance accounts for a significant portion of the overall life cycle cost of most military propulsion systems. A key variable that drives HCF margin ...
STTRPhase II2020Department of Defense Air Force -
Machine Learning of Part Variability for Predictive Maintenance
Amount: $25,000.00Extensive testing at substantial cost is a major part of military propulsion development programs. These programs involve numerous component and engine tests aimed at producing safe and reliable engin ...
STTRPhase I2020Department of Defense Air Force -
Automated Test Data Analysis for Turbine Engine Testing
Amount: $49,951.00Engine testing requires extensive time for manual data reduction and analysis, adding several months to the end of the test, increasing test costs and impacting the overall development schedule. Comme ...
SBIRPhase I2019Department of Defense Air Force -
Automated Test Data Analysis for Turbine Engine Testing
Amount: $750,000.00Engine testing requires extensive time for manual data reduction and analysis, adding several months to the end of the test, increasing test costs and impacting the overall development schedule. Comme ...
SBIRPhase II2019Department of Defense Air Force -
Advanced Multi-Source Digital Signal Processing And Analysis For Characterization Of Vibrations In Turbo-Machinery Blades
Amount: $726,595.00Characterizing turbine engine rotor vibratory characteristics is becoming increasingly complex with the introduction of advance technologies, such as integrally bladed rotors (IBR), low aspect ratio a ...
SBIRPhase II2008Department of Defense Navy -
Advanced Multi-Source Digital Signal Processing And Analysis For Characterization Of Vibrations In Turbo-Machinery Blades
Amount: $149,488.00The 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 ...
SBIRPhase I2007Department of Defense Navy