Abstract
A method of multiple information fusion based on single component feature (MIFSCF) is proposed and applied to diagnose early fault of gear. Firstly, meshing frequency component is separated by Fractional Fourier Transform (FRFT) as single component signal, whose order envelop demodulation spectrum (OEDS) is calculated next, and the value of OEDS at feature order of gear’s fault is selected as feature parameter. Feature parameters of different sensors are fused by radar graph and analysis results show that MIFSCF is more effective and accurate than the method based on single sensor in gear fault diagnosis.
Highlights
Fault feature of transmission’s early failure is very weak, which can be exposed more evident by variable rotational speed process, but the noise is stronger, so how to separate target order component from other components and noise is important
Meshing frequency component is separated by Fractional Fourier Transform (FRFT) as single component signal, whose order envelop demodulation spectrum (OEDS) is calculated and the value of OEDS at feature order of gear’s fault is selected as feature parameter
Meshing frequency component is separated by FRFT as single component signal F, whose OEDS is calculated and the value of OEDS at feature order of gear’s fault is selected as feature parameter P
Summary
Fault feature of transmission’s early failure is very weak, which can be exposed more evident by variable rotational speed process, but the noise is stronger, so how to separate target order component from other components and noise is important. Fractional Fourier Transform (FRFT) is especially effective in separating multiple chirp signal, which can extract target chirp component from other components and noise as long as the order is correct in [1-6]. In order to reduce interference of other components and noise, and improve the reliability of gear’s early fault diagnosis, a method of multiple information fusion based on single component feature (MIFSCF) is proposed. Meshing frequency component is separated by Fractional Fourier Transform (FRFT) as single component signal, whose order envelop demodulation spectrum (OEDS) is calculated and the value of OEDS at feature order of gear’s fault is selected as feature parameter. Feature parameters of different sensors are fused by radar graph and the analysis results show that MIFSCF is more effective and accurate the method based on single sensor and single parameter in gear fault diagnosis
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