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Novel Spectral Enhancement for Incipient Fault Detection of Rotating Machinery

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
56782
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
001086
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: 2002
Title: Novel Spectral Enhancement for Incipient Fault Detection of Rotating Machinery
Agency: NASA
Contract: NAS4-02015
Award Amount: $0.00
 

Abstract:

ASRI proposes to develop a low-cost PC-based Dynamic Signal Analyzer (DSA) utilizing a novel spectral enhancement method to provide incipient fault-detection capabilities for rotating machinery. Based on a new spectral analysis technique called Coherent Phase Line Enhancer (CPLE), the DSA will significantly enhance critical speed-related signatures in vibration measurements thus providing early detection for machinery health monitoring and diagnosis. Unlike the conventional method for Power Spectral Density (PSD) function estimation, the CPLE technique incorporates phase information into the spectral estimation process. This is achieved through detection of a unique coherent phase relationship associated with all speed-related signal components in the wave-number domain. Accordingly, the CPLE spectrum detects well-hidden fault-mechanism signatures (bearing, gear, rotor instability, etc.) that are often unnoticed by a conventional PSD. The significance of the proposed innovation is attributed to its enhanced capability to cope with severe operational environments where health-monitoring measurements are heavily corrupted by background noise. Successful development of CPLE-DSA can enhance incipient fault detection capability, reducing catastrophic engine failure risks and will improve reliability of NASA's advanced propulsion systems. Phase I will demonstrate feasibility and relative benefits of CPEL-DSA. In Phase II a PC-based CPLE-DSA hardware/software prototype will be built and tested for demonstration.

Principal Investigator:

Jen-Yi Jong
President
2565510008
jjong@aisignal.com

Business Contact:

Silvio D'Orazio
Vice President
2565510008
jjong@aisignal.com
Small Business Information at Submission:

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

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