scholarly journals A Simplified Steady-State Characteristic Analysis and Senserless Control of an AC Electromagnetic Vibrating Feeder

2000 ◽  
Vol 120 (4) ◽  
pp. 607-608
Author(s):  
Masahiko Kamatani
Keyword(s):  
Steady State ◽  
State Characteristic ◽  
Characteristic Analysis ◽  
Vibrating Feeder

scholarly journals The Steady-State Characteristic Analysis of 2MW PMSG based Direct-Drive Offshore Wind Turbine

2015 ◽  
Vol 35 (3) ◽  
pp. 9-16
Author(s):  
Pyungho Shin ◽  
Jungchul Choi ◽  
Chul Yoo ◽  
Daejin Kim ◽  
Namho Kyong ◽  
...  
Keyword(s):  
Steady State ◽  
Wind Turbine ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Direct Drive ◽  
State Characteristic ◽  
Characteristic Analysis

Chaotic Characteristic Analysis of Concrete Fracture System Based on Lyapunov Exponent Stability Criterion

2013 ◽  
Vol 423-426 ◽  
pp. 1105-1109
Author(s):  
Jun Wei Song
Keyword(s):  
Compressive Strength ◽  
Steady State ◽  
Stability Criterion ◽  
System Stability ◽  
Stress System ◽  
Characteristic Analysis ◽  
Chaotic State ◽  
Whole Process ◽  
Strain Stress ◽  
The Stability

According to the research on whole curves of strain-stress of concrete materials, the paper illustrates in evidence features of stages and shows that the discrete feature of curve often occurs in strain-softening stage. After chaotic dynamic analysis of testing datas, it presents that system of whole process of strain-stress evolves from ordered steady state to low chaotic state and then to high chaotic state along with increase of compressive strength. The linear relationship of strain-stress grows evident and the system evolves from strong ordered steady state to low chaos state. The strain-stress system before compressive strength peak is basically in weak chaotic state. Theis proposed to be the stability criterion of concrete features in different stress stages, and the is regarded as the representative value of the system stability degree. The calculation of example shows that the stability criterion definited by the proposed method is consistent with the actural situation.

Research on Temperature Field of Milling Insert with 3D Complex Groove

2007 ◽  
Vol 10-12 ◽  
pp. 374-378
Author(s):  
Ming Yang Wu ◽  
Q.X. Meng ◽  
Qiang Liu
Keyword(s):  
Neural Network ◽  
Temperature Field ◽  
Steady State ◽  
Predictive Model ◽  
Bp Neural Network ◽  
Local Minimum ◽  
State Characteristic ◽  
Key Technology ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt

Prediction of temperature field is a key technology to achieve the groove design and reconstruction of milling insert, predictive model of neural network is a new way to achieve the prediction of temperature field. According to the non-steady state characteristic of temperature field of milling insert, the paper puts forward a predictive model of temperature field of milling insert with 3D complex groove based on Levenberg-Marquardt algorithm of BP neural network, and it overcomes the disadvantage that traditional neural network is easy to fall into local minimum. The predictive results show that this predictive model can converge quickly and predict accurately.

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