Optimization of the overload-protection degree

2014 ◽  
pp. 529-532
Author(s):  
A Perelmuter ◽  
T Veriuzhska
Keyword(s):  
1981 ◽  
Vol PAS-100 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Alan Richards ◽  
Charles Formica
Keyword(s):  

2015 ◽  
Vol 719-720 ◽  
pp. 561-566
Author(s):  
Yong Qing Gao ◽  
Dan Shanng

Firstly, this paper analyzes the significance and demand of intelligent power. Then a solution of home intelligent power system based on ZigBee is proposed. Hardware components of the solution proposed in this work mainly consists of AT91SAM9G20 as the core of the home gateway controller, CC430F6137 as the core of the network node of intelligent power and construction of intelligent home network system. This paper mainly introduces a new type of home intelligent power consumption network node, which realizes the measurement of electric power parameter, monitoring, overload protection and timing control, the communication between home gateway and network node through ZigBee protocol, the intelligent household electricity. By testing and using, it can meet the aspects of everyday life needs of user in convenient life, intelligent life and energy-saving, etc. It brings great commercial return and technical value to the development and application of intelligent home in future, as well as far-reaching impact to improving the quality of intelligent home services.


2015 ◽  
Vol 740 ◽  
pp. 364-367
Author(s):  
Su Wang ◽  
Lei Sun ◽  
Wei Cong Huang

Conventionally, the fault signal of motor thermal overload in a non-periodic component is not effectively filtered with Full-wave Fourier Algorithm (or FFA). In this paper, a design which combined Complex Morlet Wavelet Algorithm with Subtraction (or CMWAS) filter is presented. The design gives system model of overload and algorithm analysis It is verified that the new algorithm is better than the FFA algorithm in terms of filtering decaying DC component.


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