期刊论文

Identification of the real delay time of millisecond blasting based on an improved CEEMDAN method

Ling, T.

中文

振动与冲击

1000-3835

2020

39

20

274-280

10.13465/j.cnki.jvs.2020.20.035

51678071:国家自然科学基金 51608183:国家自然科学基金 51878074:国家自然科学基金 CX2018B530:湖南省研究生科研创新项目 CX2018B531:湖南省研究生科研创新项目

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针对微差爆破实际延期间隔识别中容易出现的模态混叠和伪分量问题,提出了一种CEEMDAN算法结合排列熵和奇异值分解理论联合识别微差爆破延期时间的方法。以某微风化花岗岩场地实测爆破振动信号为例,分别采用EMD算法与CEEMDAN算法对仿真微差爆破信号和实测微差爆破信号实际延期间隔进行识别,在CEEMDAN算法识别的基础上,用排列熵定量检测保留爆破震动特征的有效IMF分量,对熵值大于0.5的IMF分量利用奇异值分解作处理,并采用Hilbert变换绘制相应IMF分量的包络谱。结果表明:CEEMDAN方法能识别微差爆破延期时间,且能有效克服模态混叠现象。经CEEMDAN法处理的数据依旧存在虚假分量的问题,通过排列熵检测...

In view of the problems of modal aliasing and pseudo-component which are easy to occur in the real delay interval identification of millisecond blasting,a method that combined the CEEMDAN algorithm with permutation entropy and singular value decomposition theory was proposed.Taking the measured blasting vibration signal of a slightly weathered granite site as an example,the EMD and the CEMDAN algorithms were applied in the identification of real delay interval in the simulated millisecond blasting signal and the measured millisecond blasting signal,respectively.Then on the basis of CEEMDAN alg...