Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Mechanical measurement system
Reexamination Certificate
2006-07-18
2006-07-18
Barlow, John (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Mechanical measurement system
Reexamination Certificate
active
07079959
ABSTRACT:
The present invention relates to a smart system and method of performing high-resolution frequency order analysis/diagnosis on rotor, in which such system is characterized in that capable of performing order analysis via a Kalman filter or a RLS (Recursive Least Square) algorithm while determining the failure status based on the Fuzzy theory. The smart system of present invention comprises a data acquisition means, a bench data setup means, a STFT time-spectra analysis/re-sampled order tracking means, a Kalman filter or RLS algorithmic means, a fuzzy diagnosis means and a window interface (e.g., GUI) while repeatedly making use the functions of those means so as to achieve the real-time diagnosis on rotor.
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Vold, H., Deel, J., “Vold-kalman Order Tracking: New Methods for Vehicles Sound Quality and Drive Train NVH Applications” Paper No. 972033, 1977.
Vold, H., Herlufsen, H., Gade, S., Konstantin-Hansen, H., “Characteristics of the Vold-Kalman Order Tracking Filter” Sound and Vibration, Apr. 1999.
Vold, H., Herlufsen, Mains, Corwin-Renner, “Multi Axle Order Tracking with the Vold-Kalman Tracking Filter” Sound and Vibration Magazine, 30-34, May 1997.
Bai Ming-Sian
Huang Jia-Min
Hung Ming-Hung
Su Fu-Cheng
Barlow John
Bucknam and Archer
Khuu Cindy
National Chiao Tung University
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