2009
DOI: 10.1109/tim.2009.2017661
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Method for Stochastic Measurement of Harmonics at Low Signal-to-Noise Ratio

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
30
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 24 publications
(30 citation statements)
references
References 14 publications
0
30
0
Order By: Relevance
“…Simulations are performed with simulation model implemented in Matlab and VisualC and verified in previous extensive experimental verifications [16][17][18][19]25]. Measurement interval of 20 ms is chosen, because the developed instrument supports this interval (fundamental frequency of 50 Hz).…”
Section: A Measurement Of Typical Waveformsmentioning
confidence: 99%
See 3 more Smart Citations
“…Simulations are performed with simulation model implemented in Matlab and VisualC and verified in previous extensive experimental verifications [16][17][18][19]25]. Measurement interval of 20 ms is chosen, because the developed instrument supports this interval (fundamental frequency of 50 Hz).…”
Section: A Measurement Of Typical Waveformsmentioning
confidence: 99%
“…Several prototype and small-series commercial instruments have been realized and calibrated, and their measurement uncertainty can be extremely low [16][17][18][19]. The approach of those methods was named Digital Stochastic Measurement (DSM) and these instruments were named Digital Stochastic Instruments.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The measurement uncertainty is estimated using the applied theory of discrete signals and systems, underpinned by algebraic calculations [3]. An alternative strategy, the "stochastic measurement over an interval" [4], has been researched in three challenging areas: measurements that require high accuracy and linearity [5][6][7], measurement of fast-changing signals and noisy signals [8,9]. Numerous simulations, prototype instruments and experiments have proven the metrological applicability of the stochastic approach [4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%