Instrumentation for Monitoring and Analysis of Partial Discharges Based on Modular Architecture

Amorim, H. P.; Carvalho, André T.; Fo, O.B. de Oliveira; Levy, Avner; Sans, Jérôme

doi:10.1109/ichve.2008.4774006

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…The acquisition system used in [20] and in this work is called Instrumentation for Monitoring and Analysis of Partial Discharges (IMA-DP) [23]. Digital high-pass filters are applied to separate the 60 Hz AC voltage from high frequency PD signals.…”

Section: Review Of the Single-source Pd Recognition Methodology Previously Developed By The Authorsmentioning

confidence: 99%

Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

et al. 2021

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In this paper, a novel image denoising algorithm and novel input features are proposed. The algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single dominant partial discharge (PD) source, preparing them for automatic artificial-intelligence-based classification. It was designed to mitigate several sources of distortions often observed in PRPDs obtained from fully operational hydroelectric generators. The capabilities of the denoising algorithm are the automatic removal of sparse noise and the suppression of non-dominant discharges, including those due to crosstalk. The input features are functions of PD distributions along amplitude and phase, which are calculated in a novel way to mitigate random effects inherent to PD measurements. The impact of the proposed contributions was statistically evaluated and compared to classification performance obtained using formerly published approaches. Higher recognition rates and reduced variances were obtained using the proposed methods, statistically outperforming autonomous classification techniques seen in earlier works. The values of the algorithm’s internal parameters are also validated by comparing the recognition performance obtained with different parameter combinations. All typical PD sources described in hydro-generators PD standards are considered and can be automatically detected.

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Section: Review Of the Single-source Pd Recognition Methodology Previously Developed By The Authorsmentioning

confidence: 99%

Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

et al. 2021

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“…5 illustrates our measurement procedure on a hydro-generator at Tucuruí. Discharges (IMA-DP) [15]. This system applies several proprietary filters to the measured signal, and stores the information about the peaks of the PD signal detected during acquisition.…”

Section: Data Setmentioning

confidence: 99%

A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges

Oliveira

Araújo

Barros

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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“…The goal is to estimate the reaction rate for the ozone. The PRPD diagrams were registered using the IMA-DP system [28]. The Instrumentation for Monitoring and Analysis of Partial Discharges (IMA-PD) is a partial discharges measurement system based on virtual instrumentation that was developed by the Brazilian company Cepel using LabVIEW, adhering to international technical standards such as the IEC 60034-27-1, IEC 60034-27-2, and IIE 1434-2014.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Ozone Production Reaction Rate and Partial Discharge Power in a Dielectric-Barrier Acrylic Chamber with 60 Hz High-Voltage Electrodes: CFD and Experimental Investigations

de Oliveira,

Zampolo,

Alcantara

et al. 2023

Energies

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We present a synergistic investigation into ozone production dynamics within a high-voltage reaction chamber operating from 1.75 kV to 10 kV, at 60 Hz. The output ozone concentration dependence on a 60 Hz root mean square high-voltage for an air input pressure of 0.1 bar was measured using an ultraviolet-based sensor. A finite-element numerical model of the reaction chamber was developed and used for obtaining the reaction rate for the generated ozone for each level of input voltage and the internal distribution of the gas vector velocity field and ozone concentration. An expression to estimate the ozone reaction rates from the measured ozone concentrations was also derived. It was then compared and validated using the developed computational model. Therefore, in this work, a formula is proposed to estimate the ozone production by providing the experimental reaction rates. The other objective is to analyze the hysteresis phenomena observed in the partial discharges’ levels in the reaction chamber and in the output ozone concentration. Finally, we establish a connection between the total power of partial discharges and the consequent ozone production, clarifying the role of cumulative partial discharges’ power levels in governing the resultant output ozone concentration.

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Instrumentation for Monitoring and Analysis of Partial Discharges Based on Modular Architecture

Cited by 7 publications

References 2 publications

Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges

Analysis of Ozone Production Reaction Rate and Partial Discharge Power in a Dielectric-Barrier Acrylic Chamber with 60 Hz High-Voltage Electrodes: CFD and Experimental Investigations

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