一种滚动轴承故障模式识别方法、装置和设备
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUPCON TECH CO LTD
- Filing Date
- 2022-11-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for diagnosing rolling bearing faults struggle to accurately identify fault types and locate damaged areas when faced with complex vibration signal interference and a limited number of sampling points. In particular, low-frequency signals can obscure the fault characteristic frequencies, the impact pulse method cannot pinpoint the fault location in detail, and the resonance demodulation method has insufficient resolution at low signal-to-noise ratios.
The vibration signal of the rolling bearing is obtained by Hilbert transform, and the complex envelope is analyzed and reconstructed. The discrimination index curve is calculated and the fault type is determined by the defect interval frequency. It is suitable for complex noise environment and low sampling point conditions.
It enables accurate identification and location of rolling bearing faults under complex noise and low sampling point conditions, improving the accuracy of fault mode identification and diagnostic efficiency.
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Figure CN116124457B_ABST