Formation of Nonbranched Positive Streamer With High-Frequency Impulse Voltage in Atmospheric Air

2014 ◽  
Vol 42 (10) ◽  
pp. 2418-2419 ◽  
Author(s):  
Takao Matsumoto ◽  
Koji Kijima ◽  
Yasuji Izawa ◽  
Kiyoto Nishijima
2019 ◽  
Vol 68 (9) ◽  
pp. 095202
Author(s):  
Jing-Yi Tu ◽  
She Chen ◽  
Feng Wang

2010 ◽  
Vol 22 (3) ◽  
pp. 469-473 ◽  
Author(s):  
马宾 Ma Bin ◽  
丁卫东 Ding Weidong ◽  
李峰 Li Feng ◽  
杨兰均 Yang Lanjun

2018 ◽  
Vol 25 (12) ◽  
pp. 123507 ◽  
Author(s):  
Shuqun Wu ◽  
Wenxin Cheng ◽  
Guowang Huang ◽  
Fei Wu ◽  
Chang Liu ◽  
...  

2013 ◽  
Vol 823 ◽  
pp. 417-421 ◽  
Author(s):  
Feng Yun Huang ◽  
Huan Huan Sun ◽  
Hao Pan ◽  
Wei Ru Zhang

For the multi-time scale characteristics of vibration signal, a composite multi-frequency dictionary combining the low-frequency Fourier dictionary and the high-frequency impulse time-frequency dictionary is constituted, to decompose multi-component vibration signal into the combination of several one-component signals. The use of empirical model decomposition (EDM) in high-frequency impulse Component signal including feature information is to realize segmented Hilbert-Huang transform of signal and to acquire the time-frequency representation of every one-component signal, which is the process of fault information extraction of vibration signal. The application of the method in main reducer fault diagnosis verifies the engineering practicability and validity of the new algorithm.


2017 ◽  
Vol 27 (1-2) ◽  
pp. 50-58 ◽  
Author(s):  
Wolfgang Tillmann ◽  
Frank Walther ◽  
Weifeng Luo ◽  
Matthias Haack ◽  
Jens Nellesen ◽  
...  

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