Frequency domain and wavelet analysis of the laser-induced plasma shock waves

2015 ◽  
Vol 110 ◽  
pp. 70-78 ◽  
Author(s):  
Miloš Burger ◽  
Zoran Nikolić
Keyword(s):  
Shock Waves ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Laser Induced Plasma ◽  
Plasma Shock

Nanoparticle Removal Using Laser-Induced Plasma Shock Waves

2007 ◽  
Vol 25 (1) ◽  
pp. 91-106 ◽  
Author(s):  
M. D. Murthy Peri ◽  
Ivin Varghese ◽  
Dong Zhou ◽  
Arun John ◽  
Chen Li ◽  
...  
Keyword(s):  
Shock Waves ◽  
Laser Induced Plasma ◽  
Nanoparticle Removal ◽  
Plasma Shock

Silicon Surface Topography by Laser-Induced Plasma Shock Waves in the Air and under Water

2015 ◽  
Vol 52 (10) ◽  
pp. 101405
Author(s):  
周子豪 Zhou Zihao ◽  
李晓红 Li Xiaohong ◽  
谢长鑫 Xie Changxin ◽  
朱敏 Zhu Ming ◽  
冯杰 Feng Jie
Keyword(s):  
Shock Waves ◽  
Surface Topography ◽  
Silicon Surface ◽  
Laser Induced Plasma ◽  
Plasma Shock

Study of laser-induced plasma shock waves by the probe beam deflection technique

2009 ◽  
Vol 7 (5) ◽  
pp. 410-412 ◽  
Author(s):  
钱彦 Yan Qian ◽  
陆建 Jian Lu ◽  
倪晓武 Xiaowu Ni
Keyword(s):  
Shock Waves ◽  
Probe Beam ◽  
Beam Deflection ◽  
Laser Induced Plasma ◽  
Plasma Shock

Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

2011 ◽  
Vol 143-144 ◽  
pp. 613-617
Author(s):  
Shuang Xi Jing ◽  
Yong Chang ◽  
Jun Fa Leng
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Vibration Signal ◽  
Wavelet Function ◽  
Frequency Region ◽  
Analysis Method ◽  
Vibration Signals ◽  
Harmonic Wavelet ◽  
Frequency Components

Harmonic wavelet function, with the strict box-shaped characteristic of spectrum, has strong ability of identifying signal in frequency domain, and can extract weak components form vibration signals in frequency domain. Using harmonic wavelet analysis method, the selected frequency region and other frequency components of vibration signal of mine ventilator were decomposed into independent frequency bands without any over-lapping or leaking. Simulation and diagnosis example show that this method has good fault diagnosis effect, and the ventilator fault is diagnosed successfully.

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