NDLI: Research on in power smart sensor base on LSM

Content Provider	IEEE Xplore Digital Library
Author	Chen Shou-qiang Liu chuan Qian jie
Copyright Year	2011
Description	Author affiliation: Xi Hua University School of Mechanical Engineering And Automation, Cheng Du China (Liu chuan; Qian jie) \|\| School of Mechanical Engineering And Automation, Xihua University, XHU, Chengdu, China (Chen Shou-qiang) 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.
Starting Page	1632
Ending Page	1634
File Size	264255
Page Count	3
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5777224
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Voltage Smart sensor Signal processing Component
Content Type	Text
Resource Type	Article

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