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A Labview System with Novel and Advanced Prognostic Tools

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
9700 Great Seneca Highway Rockville, MD -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: A Labview System with Novel and Advanced Prognostic Tools
Agency: NASA
Contract: NNX13CS10P
Award Amount: $125,000.00


We propose a portable data acquisition and prognostic system that contains both hardware and software with several innovative ideas. First, our hardware system consists of a high speed data acquisition card and a portable lunchbox PC. The portable lunchbox PC has advanced prognostics algorithms and user friendly Graphical User Interface (GUI) for displaying component fault status and trends. Second, the prognostics software has several innovative algorithms, which will be implemented in Labview. The first one is an adaptive physics based prognostic tool. The idea is motivated by damage mechanics, which associates the vibration amplitude and natural frequency of the vibration to the damage status. This idea has been experimentally proven to be very accurate in bearing failure prediction. The second prognostic tool is data driven and is a Hidden Markov Model (HMM) based approach that can predict the degraded state of the system. Tests using experimental data showed that the various degraded states can be correctly and unambiguously identified by the algorithm. The third tool is a hybrid one and was proven to achieve very high performance in the 2008 PHM Challenge. Finally, to further enhance the prognostic performance, we propose to apply Dempster Shafer algorithm to perform prognostic fusion.

Principal Investigator:

Chiman Kwan
Principal Investigator

Business Contact:

Chiman Kwan
Business Official
Small Business Information at Submission:

Signal Processing, Inc.
9700 Great Seneca Highway Rockville, MD -

EIN/Tax ID: 134320631
Number of Employees:
Woman-Owned: Yes
Minority-Owned: Yes
HUBZone-Owned: No