Experimental investigation of partial discharges activities in palm kernel oil methyl ester and mineral oil by using a Rogowski coil

Mengounou, Ghislain Mengata; Jiosseu, Jean Lambert; Imano, Adolphe Moukengue

doi:10.1016/j.epsr.2022.108708

Cited by 4 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, many scholars have verified that the amplitude histogram of PD fits well with the two-parameter Weibull distribution [76], [77]:…”

Section: ) Phase-based Featuresmentioning

confidence: 86%

A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

Long,

Xie,

Wang

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Partial discharge (PD) pattern recognition approaches are designed to identify the types or severities of the insulation defects within the high voltage equipment, which is vital for evaluating potential harmfulness and making follow-up maintenance plan. In recent years, many advanced machine learning (ML) algorithms have been introduced to this field and achieved remarkable results. As the second one of the two-part papers, we aim to give a comprehensive review regarding the pattern recognition approaches for ultra-high frequency (UHF) PD data in this paper. These methods are grouped into three categories, which are the traditional ML-based PD type recognition, the deep learning-based (DL) PD type recognition, and PD severity assessment. Specifically, for the first topic, feature extraction methods, dimensionality reduction methods and classification methods are reviewed separately. For the second topic, many state-of-the-art DL methods are discussed, including the deep belief network (DBN), deep autoencoder network (DAN), convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), graph convolutional network (GCN), deep ensemble learning (DEL), etc. For the third topic, the relevant algorithms are also divided into the conventional ML-based ones and the DL-based ones, which are studied in detail respectively. Finally, a brief discussion about the application effects of the above technologies is given, and some future directions are suggested. This paper covers almost every aspect of the PD pattern recognition and highlights the latest progress, which can provide valuable references for scholars in this field.

show abstract

“…Besides, many scholars have verified that the amplitude histogram of PD fits well with the two-parameter Weibull distribution [76], [77]:…”

Section: ) Phase-based Featuresmentioning

confidence: 86%

A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

Long,

Xie,

Wang

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The acid value is thus determined from the volume of solution required to cause the color change. Equation ( 1 ) 10 gives the calculation formula used, where AI represents the acid index (mg KOH/g), V KOH is the volume of KOH flowed (ml) and m b (g) is the mass of oil used. …”

Section: Methodsmentioning

confidence: 99%

“…The kinematic viscosity is thus determined from the flow time of the insulating liquid between the viscometer marks according to Eq. ( 2 ) 10 . Where K is the constancy of the viscometer, t is the flow time of the sample between the two marks, and c the kinetic energy correction.…”

Section: Methodsmentioning

confidence: 99%

“…The device for measuring the partial discharge inception voltage (PDIV) is the same as the one used in the previous work 10 . It consists of a 220 V/50 kV step-up transformer and a control case.…”

Section: Methodsmentioning

confidence: 99%

“…A similar result was demonstrated by Bertrand and Hoang 7 who investigated the breakdown voltage of vegetable oils such as: castor oil, rapeseed oil and sunflower oil. In a previous work we performed a phase resolution analysis on the propagation of partial discharges in palm kernel oil methyl ester compared to mineral oil 10 . It was concluded that vegetable oil had a better ability to slow down the activity of partial discharges.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical analysis of the impact of FeO3 and ZnO nanoparticles on the physicochemical and dielectric performance of monoester-based nanofluids

Jiosseu

Jean-Bernard

Mengounou

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

This article deals with a comparative study of the physicochemical and electrical properties of monoesters of castor oil compared with their counterparts based on FeO3 and ZnO nanoparticles. The results are also compared with those in the literature on triesters, and also with the recommendations of the IEEE C 57.14 standard. The data is analysed statistically using a goodness-of-fit test. The analysis of the viscosity data at 40 °C shows an increase in viscosity. For concentrations of 0.10 wt%, 0.15 wt% and 0.20 wt% these are respectively 5.4%, 9.69%, 12.9% for FeO3 NFs and 7.6%, 9.91% and 12.7% for ZnO NFs. For the same concentrations, the increase in acid number is respectively 3.2%, 2.9%, 2.5% for FeO3 samples and 3.18%, 2.0%, 1.2% for ZnO samples. For the same concentrations, the fire point shows an increment of 4%, 3% and 2% for FeO3 samples and a regression of 8.75%, 6.88% and 5.63% for ZnO samples. As for the breakdown voltage, for the same concentrations we observe respectively an increment of 43%, 27%, 34% for the FeO3. The results show an improvement on partial discharge inception voltage with FeO3 of 24%, 8.13% and 15.21% respectively for the concentrations 0.10 wt%, 0.15 wt% and 0.20 wt%.

show abstract

Measurement study of UHF local discharge based on voltage division method

Long,

Wang,

Peng

et al. 2024

Asia Conference on Electronic Technology (ACET 2024)

View full text Add to dashboard Cite

Experimental investigation of partial discharges activities in palm kernel oil methyl ester and mineral oil by using a Rogowski coil

Cited by 4 publications

References 20 publications

A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches

Statistical analysis of the impact of FeO3 and ZnO nanoparticles on the physicochemical and dielectric performance of monoester-based nanofluids

Measurement study of UHF local discharge based on voltage division method

Contact Info

Product

Resources

About