噪声与振动控制 ›› 2013, Vol. 33 ›› Issue (6): 148-152.DOI: 10.3969/j.issn.1006-1335.2013.06.032

• 6.信号处理与故障诊断 • 上一篇    下一篇

差分振子时间历程在微弱调制信号检测中的应用

马朝永 1, 2,  王克 1,  胥永刚 1,  段建民 2   

  1. ( 1. 北京工业大学  机电学院,  北京  100124;  2. 北京工业大学  电控学院,  北京  100124 )
  • 收稿日期:2013-06-05 修回日期:2013-07-18 出版日期:2013-12-18 发布日期:2013-12-18
  • 通讯作者: 马朝永
  • 基金资助:

    国家自然基金;基于磁记忆的低速重载齿轮潜故障早期诊断方法研究 低速重载齿轮箱早期故障多尺度非线性特征提取方法与应用研究(北京市优秀人才基金)

Weak Modulation Signal Detection Based on Difference   Oscillator Time Course

  • Received:2013-06-05 Revised:2013-07-18 Online:2013-12-18 Published:2013-12-18

摘要:

单一的差分振子仅可实现对周期信号中某一频率成分进行检测,对于强噪声背景下的边频带,尽管可以利用多个差分振子组成差分阵列进行逐个检测,进而确定边频带的间隔,但这种做法无疑会带来巨大的计算量。在对调制信号进行Hilbert变换包络分析时,所得到的时域信号是原始调制信号中的低频分量,亦是调制波信号,若该低频分量仍然包含较强的噪声成分,传统的频谱分析将会失效。此时,我们可借助差分振子时间历程对含较强的噪声的包络进行检测。因此,提出基于差分振子时间历程的微弱调制信号检测方法,即首先对信号进行Hilbert包络解调,然后利用差分振子时间历程对含较强的噪声的幅值包络进行检测,并成功应用于风机早期故障检测中。

关键词: 振动与波, 差分振子, 时间历程, Hilbert变换, 故障诊断

Abstract:

Abstract: Single differential oscillator can only detect a certain frequency component in the periodic signal detection. In order to determine the interval of side band of the signal under strong noise background, it is feasible to test frequencies of the multiple differential oscillator array one by one. But it will undoubtedly bring great amount of calculation which is uneconomical. Hilbert transform can be used to obtain the low frequency component of the signal in the modulation signal envelope analysis. But, if the low frequency component contains strong noise, the following traditional spectrum analysis will be failure, which is undesired. To solve the problem, the time history of differential oscillator can be used to test the gained envelope signal that consists of strong noise. So, in this paper, a new weak modulation signal detection method, based on time history of differential oscillator, is proposed. First, Hilbert transform is used in the envelope demodulation to gain the envelope component of the signal. Then ,do envelope demodulation test on the gained component which contains strong noise through the method of differential oscillator time history. The method had been successfully applied in the early fan fault detection.

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