基于AR双谱及其对角切片的概率筛振动信号分析

基金项目:

国家自然科学基金项目(50975098)资助

Analysis of Screen Vibration Signals of Probability Sieve Using AR Bispectrum and Its Diagonal Slices

1.
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021;
2.
Liming Vocational University, Quanzhou 362000

摘要: 通过LabView虚拟仪器组建概率筛振动信号的检测采集系统,建立振动信号AR模型,通过对不同筛分效率信号的AR双谱及其对角切片的特征分析,研究概率筛筛分效率的规律。结果表明该方法是可行的。
- 概率筛 /
- 筛分效率 /
- AR模型 /
- 双谱 /
- 对角切片
Abstract: In this paper,a detection acquisition system for vibration signals of probability sieve was set up by means of LabView.An autoregressive(AR) model of vibration signal was established accordingly.Through the feature analysis of AR bispectrum and its diagonal slices of different screen efficiency prediction signal and examination of the law of screen efficiency prediction,the results show that the method is feasible.
- probability sieve /
- screening efficiency /
- autoregressive(AR) model /
- bispecturm /
- diagonal slice

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