摘要
在机械故障诊断中,从被监测机器测得的振动信号除噪声干扰外,还常混叠有其他机器振动。分析了振源卷积混叠机理,提出了一种双谱解卷积方法,并从盲源分离和波形恢复的角度对新方法的实用背景进行了概括。实验结果证明了所提方法的可行性和可靠性。
In implementing the fault diagnosing of machine, the measured vibration signals, include both noise and the signals from other machines. The mechanism of vibration source convolution is analyzed, and a method for bispeetra - blind source separation for convolved signals is proposed. Moreover, a summary to the application of this new method in blind source separation and waveform restoration is made. Engineering experiment shows the applicability and reliability of the method under discussion.
出处
《煤矿机械》
北大核心
2007年第12期184-186,共3页
Coal Mine Machinery
基金
陕西省自然科学基金(2007E204)
关键词
故障诊断
振动信号
双谱解卷积
盲源分离
fault diagnosing
vibration signal
bispectra- blind source separation for convolved signals
blind souree separation