Development of a digital acquisition and processing system for partial discharges

Agarwal, K.; Gerdin, G.; Basappa, Prathap; Lakdawala, V.K.

doi:10.1109/ceidp.2003.1254905

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…The details of the data acquisition system for partial discharges PD have been discussed previously [1][2][3][4]. This system produces an array of PD peak pulse heights Vj and the relative phase angles Pj at which they occur.…”

Section: Introductionmentioning

confidence: 99%

Testing a statistical package for identifying pulse height distribution for a data acquisition system for partial discharges

Gerdin

Lakdawala

Agarwal³

et al.

CEIDP '05. 2005 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2005.

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A 2-channel data acquisition and processing system (DAPS) for partial discharges PD has been developed. It features a fast (20MSa/sec) digitizer and can acquire up to 16 million samples per channel, yielding an array (qi,(pi), where the qi are the pulse heights of the PDs and the (pi are the corresponding phases. The resolution of this system is 50 mV in pulse height PH and 1°in phase. A 3D plot of the n(qi,(p) is also generated. The statistical package generates the two parameters J3, P2 from the first four moments of the measured PH distributions n(qi), which depend on the total sample size N, and the size of the voltage window AV. A gaussian white noise source was used to generate an artificial PH array Vi for various values ofN and these arrays were input into the data processing part of the system as a test. It was found that for large N (10000) that the Pi, P2 approach the theoretical limit of (0,3) for a normal distribution as expected. Using standard formulas, which map the parameters governing a given distribution into P1, P2 space; similar random PH arrays Vi have been generated for a number of other distributions which map into more extensive regions of Pi, P2 space. These new PH arrays were fed into the data processing part of the system to generate the corresponding Pi, P2 for various values of N and AV as was done for the normal distribution. The new distributions include the Beta, the Gamma, the lognormal, and the Weibull; convergence to the theoretical limits for P1, P2 was again found for large N. However there is an overlap in P1, f3 space for the Beta and Weibull distributions; strategies to overcome the lack of uniqueness will be discussed.

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Section: Introductionmentioning

confidence: 99%

Testing a statistical package for identifying pulse height distribution for a data acquisition system for partial discharges

Gerdin

Lakdawala

Agarwal³

et al.

CEIDP '05. 2005 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2005.

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A novel system for generation, acquisition and analyses of partial discharges

Basappa

Lakdawala

Agarwal

et al. 2011

2011 Electrical Insulation Conference (EIC).

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A typical set of partial discharges (PD) occurring in insulation systems can be characterized by a three dimensional plot of their phase 'Φ' on the power line cycle, apparent charge magnitude 'q' and the number of pulses 'n'. A digital acquisition system is developed which can measure 'Φ' and 'q' values of 'n' PD's occurring on a given power line voltage and then plot n (φ, q). The system is developed using the data acquisition card NI-5112, which is a 2-channel high speed digitizer (100 MS/s) with the acquisition and analyses programs written in LabVIEW. The system is being tested using artificially generated PD pulses which have variable 'Φ' and 'q'.

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Maximum Partial Discharge Magnitude Hysteresis Curves as a Diagnostic Technique for Model Stator Bars

Danikas

Karlis

2008

IEEE Trans. on Ind. Applicat.

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Development of a digital acquisition and processing system for partial discharges

Cited by 3 publications

References 3 publications

Testing a statistical package for identifying pulse height distribution for a data acquisition system for partial discharges

Testing a statistical package for identifying pulse height distribution for a data acquisition system for partial discharges

A novel system for generation, acquisition and analyses of partial discharges

Maximum Partial Discharge Magnitude Hysteresis Curves as a Diagnostic Technique for Model Stator Bars

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