Continuous time-varying Q-factor estimation method in the time-frequency domain

2021 ◽  
Author(s):  
Wang Qing-Han ◽  
Liu Yang ◽  
Liu Cai ◽  
Zheng Zhi-Sheng
2021 ◽  
Vol 11 (4) ◽  
pp. 1849 ◽  
Author(s):  
Nabeel Ali Khan ◽  
Sadiq Ali ◽  
Kwonhue Choi

An efficient direction of arrival estimation method is proposed. The proposed algorithm accurately estimates the instantaneous frequency of signals received by multiple sensors (array of sensors/antennas). The estimated instantaneous frequency is then used to separate sources and estimate their direction of arrivals. Experimental results indicate that the proposed method achieves better performance than the existing methods both in terms of computational requirements and localization accuracy. It is also shown that the proposed method can work in under-determined situations.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dalian Yang ◽  
Liman Chen ◽  
Lingli Jiang ◽  
Ping Wang ◽  
Jie Tao

Due to heavy and alternating loads of working conditions, spiral bevel gears are prone to broken tooth failures. To solve the problem of vibration characteristic of spiral bevel geared transmission with broken tooth failures that is unknown, this study, considering time-varying mesh stiffness and friction excitation, proposed a torsional vibration dynamic model of spiral bevel geared transmission, which has more simple transmission path and the smaller signal attenuation. First, the time-varying excitations of various broken tooth failure are calculated and introduced into the torsional vibration dynamic model. The vibration response of spiral bevel geared transmission with various broken tooth failures is analysed in the time-frequency domain. Then, the sensitivity of the time-domain statistical index and the frequency domain components to different broken tooth failures are studied. Finally, the correctness of the simulation is verified by experiment. The results show that the crest factor is sensitive to minor tooth failure (10–30%), while kurtosis is sensitive to severe failure (30–60%). With the increase of degrees of broken tooth failure, the energy of the low-frequency band increases obviously.


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