Rolling bearing diagnosis method based on multi-view feature fusion
A rolling bearing and feature fusion technology, applied in the field of rolling bearing diagnosis based on multi-view feature fusion, can solve problems such as redundant and unfavorable fault diagnosis, and achieve the effect of reducing dependence
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[0024] figure 1 It is a flowchart of multi-view feature extraction and fusion method. Below in conjunction with accompanying drawing and embodiment, the technical solution of the present invention is described further.
[0025] Step 1: Use the rolling bearing public dataset from Case Western Reserve University. like figure 2 As shown in (a), the test bench consists of a 2-horsepower motor, torque sensor / encoder, dynamometer, and control electronics (not shown), which are arranged on the left, middle, and right sides of the test bench, respectively. image 3 The waveform diagrams of vibration signals of rolling bearings in four 0.007-inch crack states are shown in the middle. The feature extraction of vibration signal comes from three aspects: time domain, frequency domain and time-frequency domain. The characteristics of the vibration signal are extracted from multiple perspectives. On the basis of the spectrum diagram and the envelope spectrum diagram, the time-frequency...
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