scholarly journals Observation of mode-mixing in the eigenmodes of an optical microcavity

2021 ◽  
Author(s):  
Corné Koks ◽  
Martin van Exter
2021 ◽  
Vol 533 (5) ◽  
pp. 2170019
Author(s):  
Hong Yang ◽  
Guo‐Qing Qin ◽  
Hao Zhang ◽  
Xuan Mao ◽  
Min Wang ◽  
...  

2014 ◽  
Vol 60 (1) ◽  
pp. 1127-1132
Author(s):  
Y. Lv ◽  
W. Jiang ◽  
W. Ou ◽  
T. Chen

2013 ◽  
Vol 377 (40) ◽  
pp. 2870-2876 ◽  
Author(s):  
Hong-Fu Wang ◽  
Jing-Ji Wen ◽  
Ai-Dong Zhu ◽  
Shou Zhang ◽  
Kyu-Hwang Yeon

2015 ◽  
Vol 32 (10) ◽  
pp. 104210
Author(s):  
Wen-Fang Li ◽  
Jin-Jin Du ◽  
Rui-Juan Wen ◽  
Gang Li ◽  
Tian-Cai Zhang

2017 ◽  
Vol 09 (02) ◽  
pp. 1750004 ◽  
Author(s):  
Pawel Rzeszucinski ◽  
Michal Juraszek ◽  
James R. Ottewill

The paper introduces the concept of exploring the potential of Ensemble Empirical Mode Decomposition (EEMD) and Sparsity Measurement (SM) in enhancing the diagnostic information contained in the Time Synchronous Averaging (TSA) method used in the field of gearbox diagnostics. EEMD was created as a natural improvement of the Empirical Mode Decomposition which suffered from a so-called mode mixing problem. SM is heavily used in the field of ultrasound signal processing as a tool for assessing the degree of sparsity of a signal. A novel process of automatically finding the optimal parameters of EEMD is proposed by incorporating a Form Factor parameter, known from the field of electrical engineering. All these elements are combined and applied on a set of vibration data generated on a 2-stage gearbox under healthy and faulty conditions. The results suggest that combining these methods may increase the robustness of the condition monitoring routine, when compared to the standard TSA used alone.


Author(s):  
Tomasz Fąs ◽  
Maciej Ściesiek ◽  
Wojciech Pacuski ◽  
Andrzej Golnik ◽  
Jan Suffczyński

2021 ◽  
Author(s):  
R. Piccoli ◽  
J. M. Brown ◽  
Y.-G. Jeong ◽  
A. Rovere ◽  
L. Zanotto ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Yun-Feng Xiao ◽  
Yan-Jun Qian ◽  
Qi-Tao Cao ◽  
Shuai Wan ◽  
Yu-Zhong Gu ◽  
...  

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