DocumentCode :
3272612
Title :
Research on in power smart sensor base on LSM
Author :
Chen Shou-qiang ; Liu chuan ; Jie, Qian
Author_Institution :
Sch. of Mech. Eng. & Autom., Xihua Univ., Chengdu, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
1632
Lastpage :
1634
Abstract :
This paper discusses the methods of error minimum mean voltage in the power smart sensor component of the application. Proposed and analyzed and compared to obtain the power smart sensor is difficult to predict important parameters of voltage RMS power, the initial phase angle of the several methods are methods that minimize the error on the circuit performance due to reduced demand. And can effectively simplify the system and reduce costs. Simulation results show that the use of new methods for voltage RMS in the time available to reduce the sampling frequency, the amplitude of the signal in the initial phase angle disturbance requirement from less than 5% of the signal amplitude can be relaxed to 15% of the signal amplitude.
Keywords :
intelligent sensors; least mean squares methods; signal sampling; LMS method; cost reduction; error minimum mean voltage method; phase angle disturbance; power smart sensor; sampling frequency; signal amplitude; signal processing; voltage RMS power; Decision support systems; component; signal processing; smart sensor; voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777224
Filename :
5777224
Link To Document :
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