Extraction Method of Instantaneous Frequency Feature of Torsional Vibration Signals of Tracked Vehicle Brake

doi:10.12382/bgxb.2022.0243

Abstract

Abstract:

The braking performance of tracked vehicles is one of the important indicators to evaluate their mobility. Torsional vibration caused by the engine can reduce and even fail the braking effect. Torsional vibration signals are often submerged in noise, and it is difficult to determine whether the signals feature torsional vibration. To solve these problems, a parameter-optimized variational mode decomposition (VMD) method is proposed to extract the instantaneous frequency features of the torsional vibration signals. By using the particle swarm optimization (PSO) algorithm, the energy entropy is used as the fitness function to optimize the VMD parameters, and the optimal combination is obtained. The reconstructed torsional vibration signals are interpolated by zero point linear interpolation, and the interval between the two pulses is calculated to obtain the instantaneous rotational speed fluctuation signal. Finally, the spectrum analysis of the instantaneous rotational speed fluctuation signal is done to extract the instantaneous frequency of the torsional vibration signal. The experimental results of an torsional vibration experiment show that processing the signal (sampling frequency is 20480Hz) with a rotating speed of 600r/min and a torsional vibration frequency of 50Hz, the parameter-optimized VMD can accurately extract the instantaneous frequency features of torsional vibration, and the error is less than 1%.

Key words: tracked vehicles, torsional vibration, variational mode decomposition, particle swarm optimization, instantaneous frequency, linear interpolation

CLC Number:

TJ301

ZHOU Cheng, LUO Yang, WEI Jiang, CAO Hongrui, LAN Hai, ZHANG Wanhao. Extraction Method of Instantaneous Frequency Feature of Torsional Vibration Signals of Tracked Vehicle Brake[J]. Acta Armamentarii, 2023, 44(1): 316-324.

Figures/Tables 15

Fig.1 Diagram of instantaneous speed by the zero point method

Fig.2 Calculation of instantaneous speed by the zero point linear interpolation method

Table 1 PSO parameters

D	N_max	m	学习因子c₁	学习因子c₂	w_max	w_min
2	1000	10	2	2	0.9	0.4

Fig.3 Flow chart of the algorithm

Fig.4 Torsional vibration experimental prototype

Fig.5 Time domain diagram of torsional vibration signals

Fig.6 Spectrum analysis of torsional vibration signals

Fig.7 Curve of fitness function

Fig.8 Decomposition of each IMF by VMD

Fig.9 IMF2 Time domain waveform and spectrum

Fig.10 Instantaneous speed fluctuation

Fig.11 Spectrum analysis of instantaneous speed fluctuation

Table 2 Correlation coefficients of IMF components

IMF	IMF₁	IMF₂	IMF₃	IMF₄	IMF₅
相关系数	0.3186	0.8985	0.1953	0.2218	0.1094

Fig.12 Results of unoptimized torsional vibration signals

Fig.13 Analysis results of torsional vibration signal decomposed by EEMD

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