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
Keyword(s):  
Frequency Domain ◽  
Continuous Time ◽  
Estimation Method ◽  
Time Varying ◽  
Q Factor ◽  
Time Frequency ◽  
Factor Estimation

Continuous-time linear time-varying system identification with a frequency-domain kernel-based estimator

2017 ◽  
Vol 11 (4) ◽  
pp. 457-465 ◽  
Author(s):  
John Lataire ◽  
Rik Pintelon ◽  
Dario Piga ◽  
Roland Tóth
Keyword(s):  
System Identification ◽  
Frequency Domain ◽  
Continuous Time ◽  
Linear Time ◽  
Time Varying ◽  
Time Linear

Continuous-time frequency domain subspace system identification

1996 ◽  
Vol 52 (2) ◽  
pp. 179-194 ◽  
Author(s):  
Peter Van Overschee ◽  
Bart De Moor
Keyword(s):  
System Identification ◽  
Frequency Domain ◽  
Continuous Time ◽  
Time Frequency ◽  
Subspace System Identification

scholarly journals An Efficient Direction of Arrival Estimation Algorithm for Sources with Intersecting Signature in the Time–Frequency Domain

2021 ◽  
Vol 11 (4) ◽  
pp. 1849 ◽  
Author(s):  
Nabeel Ali Khan ◽  
Sadiq Ali ◽  
Kwonhue Choi
Keyword(s):  
Frequency Domain ◽  
Instantaneous Frequency ◽  
Estimation Method ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Direction Of Arrival Estimation ◽  
Localization Accuracy ◽  
Time Frequency ◽  
Multiple Sensors ◽  
Sensors Array

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.

scholarly journals Research on the Influence of Time-Varying Excitation on Vibration Characteristics of the Spiral Bevel Geared Transmission System with Broken Teeth

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dalian Yang ◽  
Liman Chen ◽  
Lingli Jiang ◽  
Ping Wang ◽  
Jie Tao
Keyword(s):  
Frequency Domain ◽  
Dynamic Model ◽  
Torsional Vibration ◽  
Low Frequency ◽  
Time Varying ◽  
Crest Factor ◽  
Time Frequency ◽  
Bevel Gears ◽  
Spiral Bevel ◽  
The Time Domain

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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