The degree of coupling analysis method based on current injection

Author(s):  
Zhen Hu ◽  
Xinran Li
Author(s):  
Hyungmin Kang ◽  
Subin Kim ◽  
Daehwan Lho ◽  
Hyunwook Park ◽  
Boogyo Sim ◽  
...  

2014 ◽  
Vol 884-885 ◽  
pp. 415-418 ◽  
Author(s):  
Ning Ji ◽  
Jia Fei Dai ◽  
Jun Wang

This paper presents a mutual mode entropy algorithm to quantify the degree of coupling between two simultaneous acquisition of beta rhythm EEG time series. Applying the algorithm to calculate beta rhythm EEG and hypothesis testing, the results show that coupling degree was significantly different between different physiological states which indicating that mutual mode entropy can be used to analyze the coupling between the time series. The mutual mode entropy also can be parameter measuring brain state which can be applied to assist future clinical evaluation of brain function.


2021 ◽  
Vol 33 (1) ◽  
pp. 13-23
Author(s):  
Jun Ding ◽  
You-sheng Wu ◽  
Xin-yun Ni ◽  
Qi-bin Wang ◽  
Yu-chao Chen ◽  
...  

2012 ◽  
Vol 594-597 ◽  
pp. 1504-1508
Author(s):  
Ji Xin Yang ◽  
Sheng Rong Zuo ◽  
Yi Feng Huang

This paper introduces the numerical analysis method to analyze the dynamic characteristics of pier in water. The method comes to realize by the software ANSYS. By the calculating of ANSYS, the 1~3 order frequency can be found regular when the pier in full of water and anhydrous conditions. Water has a strong impact on natural vibration frequency of structures, as the water level rises, the natural vibration frequency decreases gradually, the value of the reducing is about 13%. At the same time, the frequency decreases as an increasing rate. So the natural frequency effect which the water acting on the structure can not be ignored.


2019 ◽  
Vol 9 (20) ◽  
pp. 4206 ◽  
Author(s):  
Di Tan ◽  
Yanshou Wu ◽  
Kun Yang ◽  
Zhichang Qin ◽  
Chao Ma

As the core component of in-wheel motor-driven electric vehicles, the in-wheel motor (IWM) directly affects the driving/braking performance of each driving wheel and the driving performance of the vehicle. The IWM operation involves a coupling of multi-fields, including the electromagnetic, temperature, flow, and mechanical fields, which influence each other. It is necessary to study coupling analysis methods to obtain accurate and consistent results. In this paper, a 15 kW in-wheel motor is taken as the research object. Based on the finite element model of the IWM, the coupling factors between the electromagnetic and temperature field, and the influence trend of coupling factors on the two fields are investigated. On this basis, considering the strong coupling factors obtained from the above analysis, the unidirectional coupling and bidirectional coupling analysis methods are used to analyze the electromagnetic–temperature characteristics of the IWM, and the comparative results between the two methods are discussed. It was found that the results showed the temperature of the IWM calculated by the bidirectional coupling method was higher than that obtained by the unidirectional coupling analysis method. The maximum temperature of stator windings calculated by bidirectional coupling was 7.1% higher than that calculated by unidirectional coupling analysis, and the effect on the relative difference of torque could reach 7.4%. Bidirectional coupling can more accurately reflect the variation of variables in the fields and the prediction of motor performance in the process of motor operation. The progress made in the electromagnetic–temperature coupled analysis method can provide a theoretical basis and useful ideas for the multi-fields coupling analysis of IWMs.


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