Instantaneous rotation speed estimation method for rotation equipment
A technology of instantaneous speed and rotating equipment, applied in the field of signal processing, can solve the problems of poor time-frequency concentration, cross-term interference, limited time-frequency resolution, etc., and achieve the effect of stable performance, simple implementation, and overcoming the limitation of time-frequency resolution
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Embodiment 1
[0097] figure 2 It is the time-frequency representation of a simulated signal, the signal-to-noise ratio is 0dB, and the sampling frequency is 100Hz. Set the order M of the parameterized time-frequency transform Fourier kernel to 6, and the iterative convergence threshold ε to 1e-3. The parameterized time-frequency transformation is iterated 3 times to reach the convergence condition, and the relative errors of the instantaneous frequency estimation in each iteration are -43.9dB, -44.9dB, -45.0dB respectively. Use the envelope tracking filter to correct the instantaneous frequency estimation result, set the filter bandwidth to 1Hz (that is, the Fourier order K=15), and the regularization parameter α to 0.5, the corrected instantaneous frequency is as follows image 3 As shown, its relative error is -64.9dB. Figure 4 Relative error of instantaneous frequency estimation under different signal-to-noise ratio conditions for parameterized time-frequency transformation and the m...
Embodiment 2
[0099] The method provided by the invention will be used to estimate the instantaneous rotational speed of the actual equipment. Figure 5 It is a schematic diagram of a rotor test bench, in which the motor drives the load rotor to move after the speed is adjusted by the reducer, and the accelerometer collects the vibration signal at the bearing for analysis and processing. Image 6 It is the time-frequency representation of the rotor vibration signal measured during the start-stop phase of the test bench, and the sampling frequency is 100 Hz. Set the order M of the parameterized time-frequency transform Fourier kernel to 30, and the iterative convergence threshold ε to 1e-3. The parametric time-frequency transformation is iterated a total of 3 times. Use the envelope tracking filter to correct the instantaneous frequency estimation result, set the filter bandwidth to 1Hz (that is, the Fourier order K=15), and the regularization parameter α to 0.5. The final estimated instan...
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