Order tracking techniques have been applied in processing dynamic signals measured from rotary machines for decades. The developed order tracking techniques can be classified into waveform reconstruction and non-reconstruction approaches. The waveform-reconstruction schemes such as the Gabor and the Vold-Kalman filtering order tracking techniques can extract specific order and/or spectral components in addition to characterizing the processed signal in an rpm-frequency plane. The paper objectively compares the characteristics of the improved Gabor order tracking and angular-displacement Vold-Kalman Filtering order tracking schemes. Two diagnostic tasks including ECG signal reconstruction to enhance tiny information, and the characterization of crossing-order noise measured from a riding electric scooter, are accomplished as examples of application.

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