Order Tracking Techniques in Diagnostic Tasks

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.