Physical, thermal and partial discharge evaluation of nano alumina filled silicone rubber in inclined plane test

Butt, Faizan Tahir; Nazir, M. Tariq; Hussain, Haider; Phung, B.T.; Akram, Shakeel; Bhutta, Muhammad Shoaib

doi:10.17775/cseejpes.2020.01190

Cited by 7 publications

(3 citation statements)

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“…According to the phenomenon generated by PD, such as sound, light, and electricity, the primary methods used for PD detection are based on acoustic emission [ 3 , 4 ], pulse current [ 5 ], transient earth voltage [ 6 ], and ultrahigh frequency [ 7 ]. PD detection technology has been used to optimize insulation materials, detect equipment faults, and in other fields [ 8 , 9 , 10 ]. However, the methods described above are vulnerable to disturbance and are only able to achieve an external measurement.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Partial Discharge Based on the Air Components for the 10 kV Air-Insulated Switchgear

Tan

Zhang

et al. 2022

Sensors

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Partial discharge (PD) is a common phenomenon of insulation aging in air-insulated switchgear and will change the gas composition in the equipment. However, it is still a challenge to diagnose and identify the defect types of PD. This paper conducts enclosed experiments based on gas sensors to obtain the concentration data of the characteristic gases CO, NO2, and O3 under four typical defects. The random forest algorithm with grid search optimization is used for fault identification to explore a method of identifying defect types through gas concentration. The results show that the gases concentration variations do have statistical characteristics, and the RF algorithm can achieve high accuracy in prediction. The combination of a sensor and a machine learning algorithm provides the gas component analysis method a way to diagnose PD in an air-insulated switchgear.

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Section: Introductionmentioning

confidence: 99%

Diagnosis of Partial Discharge Based on the Air Components for the 10 kV Air-Insulated Switchgear

Tan

Zhang

et al. 2022

Sensors

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“…Over the last decade, nanodielectric insulating materials have received a lot of attention in the global market [19][20][21][22]. Several published studies proclaim that polymers and their derived nanocomposite insulating materials can enhance the dielectric properties for electrical applications [23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Steady-State Conduction Current Performance for Multilayer Polyimide/SiO2 Films

et al. 2021

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The steady-state electrical conduction current for single and multilayer polyimide (PI) nanocomposite films was observed at the low and high electric field for different temperatures. Experimental data were fitted to conduction models to investigate the dominant conduction mechanism in these films. In most films, space charge limited current (SCLC) and Poole–Frenkel current displayed dominant conduction. At a high electric field, the ohmic conduction was replaced by current–voltage dependency. Higher conduction current was observed for nanocomposite films at a lower temperature, but it declined at a higher temperature. PI nanocomposite multilayer films showed a huge reduction in the conduction current at higher electric fields and temperatures. The conclusions derived in this study would provide the empirical basis and early breakdown phenomenon explanation when performing dielectric strength and partial discharge measurements of PI-based nanocomposite insulation systems of electric motors.

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“…Therefore, the operation and maintenance technology, such as detection and diagnosis of XLPE insulation fault state, is an urgent research topic. Partial discharge and leakage current are two main ways to characterise the insulation performance of power equipment [7][8][9][10][11]. However, the research on the formation mechanism, characteristic law and identification technology of partial discharge and leakage current of XLPE cable under DC is still relatively insufficient, and the research on combined detection and identification of partial discharge and leakage current is relatively less.…”

Section: Introductionmentioning

confidence: 99%

Application of multi‐source information fusion based on D‐S evidence theory in insulation defect identification of DC XLPE cable

Huang

et al. 2021

High Voltage

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During the installation and laying process of cross-linked polyethylene (XLPE) cable, it is difficult to avoid the influence of external harsh environment, which leads to insulation deterioration and failure. The partial discharge and leakage current play an important role in formation mechanism, characteristic law and identification technology of DC XLPE cable defect. However, the defect identification accuracy of single source data is limited. The correlation between partial discharge and leakage current of typical defect is analysed here. Based on the shape characteristic parameters of typical DC partial discharge spectrum and the energy characteristic parameters of leakage current wavelet decomposition node, a weighted Dempster-Shafer (D-S) evidence theory is used to fuse and identify different information sources. The results show that the classification rate of the proposed method can reach 88%, which can effectively identify insulation defects.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Physical, thermal and partial discharge evaluation of nano alumina filled silicone rubber in inclined plane test

Cited by 7 publications

References 0 publications

Diagnosis of Partial Discharge Based on the Air Components for the 10 kV Air-Insulated Switchgear

Diagnosis of Partial Discharge Based on the Air Components for the 10 kV Air-Insulated Switchgear

Steady-State Conduction Current Performance for Multilayer Polyimide/SiO2 Films

Application of multi‐source information fusion based on D‐S evidence theory in insulation defect identification of DC XLPE cable

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