期刊
NONLINEAR DYNAMICS
卷 103, 期 1, 页码 715-739出版社
SPRINGER
DOI: 10.1007/s11071-020-06143-y
关键词
Vibrational resonance; Varying stable-state nonlinear system; Cascaded nonlinear systems; Weak high-frequency character signal; Rotating machine
资金
- National Natural Science Foundation of China [52075094, 51705321]
- Fundamental Research Funds for the Central Universities [2232019D3-29]
- China Postdoctoral Science Foundation [2017M611576]
- Initial Research Funds for Young Teachers of Donghua University
An adaptive detection method based on vibrational resonance and cascaded varying stable-state nonlinear systems is proposed to effectively detect weak high-frequency character signals in engineering problems.
A weak character signal with low frequency can be detected based on the mechanism of vibrational resonance (VR). The detection performance of VR is determined by the synergy of a weak low-frequency input signal, an injected high-frequency sinusoidal interference and the nonlinear system(s). In engineering applications, there are many weak fault signals with high character frequencies. These fault signals are usually submerged in strong background noise. To detect these weak signals, an adaptive detection method for a weak high-frequency fault signal is proposed in this paper. This method is based on the mechanics of VR and cascaded varying stable-state nonlinear systems (VSSNSs). Partial background noise with high frequency is regarded as a special type of high-frequency interference and an energy source that protrudes a weak fault signal. In this way, high-frequency background noise is utilized in a VSSNS. To improve the detection ability, manually generated high-frequency interference is injected into another VSSNS. The VSSNS can be transformed into a monostable state, bistable state or tristable state by tuning the system parameters. The proposed method is validated by a simulation signal and industrial applications. The results show the effectiveness of the proposed method to detect a weak high-frequency character signal in engineering problems.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据