Partial discharge diagnosis and remaining useful lifetime in XLPE extruded power cables under DC voltage: a review

Fikri, Miftahul; Abdul‐Malek, Zulkurnain

doi:10.1007/s00202-023-01935-y

Electr Eng

2023

DOI: 10.1007/s00202-023-01935-y

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Partial discharge diagnosis and remaining useful lifetime in XLPE extruded power cables under DC voltage: a review

Miftahul Fikri

Zulkurnain Abdul‐Malek

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Cited by 2 publications

References 118 publications

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A machine learning-based assessment model for defect diagnosis in XLPE power cables

Ida Evangeline,

Darwin,

Baskaran

et al. 2024

e-Prime - Advances in Electrical Engineering, Electronics and E

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A machine learning-based assessment model for defect diagnosis in XLPE power cables

Ida Evangeline,

Darwin,

Baskaran

et al. 2024

e-Prime - Advances in Electrical Engineering, Electronics and E

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Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM )

Fikri,

Christiono,

Mulyana K

et al. 2023

ELKHA

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In many electrical networks in Indonesia, insulation failure due to high voltage phenomena like Corona Discharge (CD) still happens. This is a result of our inability to perform early Corona Discharge (CD) identification. This study’s objective is to optimalize the sound properties of Corona Discharge (CD) as a first step throught the early identification of insulation failure in the form of clustering 20 kV cubicle. Based on observations on the needle-rod electrode 3 cm apart, the smallest breakdown was obtained at 34.3 kV. So that the classification of CD sound by 3 clusters starting 20 kV cubicle voltage until before the failure occurs on 33 kV. The temperature in the cubical is between 27.5℃ - 35.3℃ and humidity ranges from 70% - 95%. It was stated in the study that the FcM method was the most widely used and successful method. In this case, FcM can obtain more flexible results that classify data into clusters easily. This research will be carried out using the Fuzzy c-Means (FcM) method. Feature extraction with linear predictive coding (LPC) method, then optimization by using the Fuzzy c-Means (FcM) method which is expected to be used as an initial step for early detection of insulation failure.

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Partial discharge diagnosis and remaining useful lifetime in XLPE extruded power cables under DC voltage: a review

Cited by 2 publications

References 118 publications

A machine learning-based assessment model for defect diagnosis in XLPE power cables

A machine learning-based assessment model for defect diagnosis in XLPE power cables

Optimization Objective Function Corona Discharge Acoustic Using Fuzzy c-Means (FcM )

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