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Novel Non-Intrusive Vibration Monitoring System for Turbopumps

Award Information

Agency:
National Aeronautics and Space Administration 		Branch:
N/A 		Award ID:
76840 		Program Year/Program:
2005 / SBIR
Agency Tracking Number:
040175 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
AI Signal Research, Inc.
3411 Triana Blvd. Huntsville, AL 35805 0464
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Novel Non-Intrusive Vibration Monitoring System for Turbopumps
Agency: NASA
Contract: NNM05AA53C
Award Amount: $69,994.00
 

Abstract:

AI Signal Research, Inc. proposes to develop a Non-Intrusive Vibration Measurement System (NI-VMS) for turbopumps which will provide effective on-board/off-board fault detection diagnostic capabilities without relying on any intrusive installation of once per revolution (1/Rev) tachometer key phasor measurement. Many vibration signature analysis techniques use a key phasor signal to identify and detect critical vibration characteristics and fault signatures. However, in many operational environments (e.g., SSME HPOTP), the tachometer measurement is not available usually due to its intrusive installation requirement or safety consideration. For this situation, many powerful diagnostic analyses cannot be performed. With our system, we over come this problem by utilizing a novel signal analysis technique called Pseudo Key Phasor (PKP) to reconstruct an equivalent 1/Rev PKP signal directly from a non-intrusive vibration measurement. The resulting PKP signal enables the use of effective signature analysis to enhance diagnostic capabilities. The applicable innovation is attributed to to effectively achieve non-intrusive health monitoring and diagnosis without intrusive tachometer installation. This technology will enhance incipient fault detection capability, reducing catastrophic engine failure risks and improve reliability of NASA's advanced propulsion systems. Phase I objectives are to demonstrate the feasibility and relative benefits of NI-VMS non-intrusive monitoring c

Principal Investigator:

Jen-Yi Jong
2565510008
jjong@aisignal.com

Business Contact:

Kevin Barr
Business Official
2565510008
kbarr@aisignal.com
Small Business Information at Submission:

AI Signal Research, Inc.
3411 Triana Blvd. SW Huntsville, AL 35805

EIN/Tax ID: 631022675
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No