Name
Title | ||
|---|---|---|
A calibration procedure for a digital instrument for electric power quality measurement |
Abstract | ||
|---|---|---|
The measurement of power quality is becoming an impelling need in a deregulated electricity market where the sources producing distortion and disturbances are steadily in creasing in number and power. The instruments for power quality measurement are based on complex digital processing of the input signals, whose waveforms are highly variable. The calibration of this kind of instruments is therefore an open topic, especially when the uncertainty propagation through the digital signal processing (DSP) algorithm is concerned. This paper proposes an innovative procedure, based on the Monte Carlo method. Starting from the determination of the probability density function of the uncertainty contribution of every device from the signal input stage to the analog-to-digital conversion stage, this procedure estimates the probability density function of the measurement results and the measurement standard uncertainty as the standard deviation associated with this function. The result of the experimental work done on a prototype of a power quality measurement instrument is reported. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TIM.2002.803293 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
Monte Carlo methods,analogue-digital conversion,calibration,computerised instrumentation,digital instrumentation,electric current measurement,measurement uncertainty,power supply quality,power system measurement,voltage measurement,IEEE 488 bus,Monte Carlo method,analog-to-digital conversion stage,calibration,complex digital processing,current transducers,digital instruments,digital signal processing algorithm,electric power quality measurement,fully automated measurement system,measurement standard uncertainty,measurement transformers,probability density function,relative frequency histogram,standard deviation,uncertainty propagation,voltage transducers | Electric power quality,Digital signal processing,Propagation of uncertainty,Measurement uncertainty,Control engineering,Electronic engineering,Standard deviation,Distortion,Probability density function,Mathematics,Calibration | Journal |
Volume | Issue | ISSN |
51 | 4 | 0018-9456 |
Citations | PageRank | References |
24 | 10.76 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Ferrero | 1 | 376 | 88.12 |
| Massimo Lazzaroni | 2 | 110 | 30.84 |
| S. Salicone | 3 | 133 | 32.59 |