A Novel Non-Synchronous Sampling Method for Harmonic/Interharmonic Measurement sn Power Systems

2012 ◽  
Vol 18 (5) ◽  
pp. 491-500 ◽  
Author(s):  
Jingwen Yu ◽  
Hui Xue ◽  
Boying Wen
2015 ◽  
Vol 9 (1) ◽  
pp. 380-385 ◽  
Author(s):  
Zhang Le ◽  
Bian Haihong ◽  
Chen Guohua

The dependence factors in power systems should be considered in stochastic power flow computation, so Joint Normal Transform (JNT), belonging to the copula function technology, is improved to model these dependences. Firstly, the procedure of traditional JNT method is introduced and the principle of correlation structure’s remaining unchanged is analyzed combined with the properties of rank correlations when JNT method is utilized in dependence modelling. Then, an improved JNT sampling method is proposed to raise sampling efficiency by applying Orthogonal Transformation according to the characteristic that JNT method is based on Normal Distribution. Finally, a calculation example is designed to verify the feasibility of the proposed improved JNT sampling method.


2014 ◽  
Vol 998-999 ◽  
pp. 495-498 ◽  
Author(s):  
Zhen Hai Zhang ◽  
Chang Chun Chi ◽  
Jiao Jiao Liu ◽  
Zheng Bing Lian ◽  
Shi Liang Shao

The motor temperature rise is an important indicator for the evaluation of motor performance and the development of motor testing system put forward higher requirements to data acquisition and processing. In view of this, the motor temperature rise test system based on the magnetic power dynamometer which acted as a load was studied. The overall structure and the software algorithm of the system were introduced. The existing synchronous sampling method was put into use in data acquisition system of the motor temperature rise test so that it can automatically test the motor temperature rise. Combining with the instance, proves the accuracy of this method. This method has the superiority of reducing errors and improving accuracy by combining with the instance.


2007 ◽  
Vol 23 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Matthias R. Mehl ◽  
Shannon E. Holleran

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.


2016 ◽  
Vol 37 (3) ◽  
pp. 181-193 ◽  
Author(s):  
Aire Mill ◽  
Anu Realo ◽  
Jüri Allik

Abstract. Intraindividual variability, along with the more frequently studied between-person variability, has been argued to be one of the basic building blocks of emotional experience. The aim of the current study is to examine whether intraindividual variability in affect predicts tiredness in daily life. Intraindividual variability in affect was studied with the experience sampling method in a group of 110 participants (aged between 19 and 84 years) during 14 consecutive days on seven randomly determined occasions per day. The results suggest that affect variability is a stable construct over time and situations. Our findings also demonstrate that intraindividual variability in affect has a unique role in predicting increased levels of tiredness at the momentary level as well at the level of individuals.


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