Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub>
Accurately detecting defect-induced photon emissions enables early defect detection and characterization. To address this, a defect evolution state recognition model based on phase-resolved photon counting and dimensionality reduction calculations is proposed under alternating current (AC) excitatio...
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MDPI AG
2025-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/7/1649 |
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| author | Hanhua Luo Yan Liu Chong Guo Zuodong Liang |
| author_facet | Hanhua Luo Yan Liu Chong Guo Zuodong Liang |
| author_sort | Hanhua Luo |
| collection | DOAJ |
| description | Accurately detecting defect-induced photon emissions enables early defect detection and characterization. To address this, a defect evolution state recognition model based on phase-resolved photon counting and dimensionality reduction calculations is proposed under alternating current (AC) excitation. Initially, photon information from protruding metal defects simulated using needle–plane electrodes during partial discharge (PD) evolution is analyzed in SF<sub>6</sub>. Subsequently, phase-resolved photon counting (PRPC) techniques and statistical analysis are employed to extract feature parameters for quantitative characterization of defect-induced photon responses. Finally, a t-distributed stochastic neighbor embedding (t-SNE) dimensionality reduction analysis is utilized to establish criteria for categorizing defect evolution states. The findings reveal that metal-particle-triggered optical PRPC maintains the obvious polarity effect, and the entire evolution of the discharge can be divided into three processes. These research findings are expected to advance the accurate assessment of operational risks in gas-insulated systems. |
| format | Article |
| id | doaj-art-2f47bb7d05784530b1dcb9579e7d5bbb |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-2f47bb7d05784530b1dcb9579e7d5bbb2025-08-20T02:09:17ZengMDPI AGEnergies1996-10732025-03-01187164910.3390/en18071649Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub>Hanhua Luo0Yan Liu1Chong Guo2Zuodong Liang3School of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaSchool of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaAccurately detecting defect-induced photon emissions enables early defect detection and characterization. To address this, a defect evolution state recognition model based on phase-resolved photon counting and dimensionality reduction calculations is proposed under alternating current (AC) excitation. Initially, photon information from protruding metal defects simulated using needle–plane electrodes during partial discharge (PD) evolution is analyzed in SF<sub>6</sub>. Subsequently, phase-resolved photon counting (PRPC) techniques and statistical analysis are employed to extract feature parameters for quantitative characterization of defect-induced photon responses. Finally, a t-distributed stochastic neighbor embedding (t-SNE) dimensionality reduction analysis is utilized to establish criteria for categorizing defect evolution states. The findings reveal that metal-particle-triggered optical PRPC maintains the obvious polarity effect, and the entire evolution of the discharge can be divided into three processes. These research findings are expected to advance the accurate assessment of operational risks in gas-insulated systems.https://www.mdpi.com/1996-1073/18/7/1649electroluminescenceepoxy resin insulationdefect detectionphoton countingphase-resolved photon counting |
| spellingShingle | Hanhua Luo Yan Liu Chong Guo Zuodong Liang Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> Energies electroluminescence epoxy resin insulation defect detection photon counting phase-resolved photon counting |
| title | Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> |
| title_full | Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> |
| title_fullStr | Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> |
| title_full_unstemmed | Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> |
| title_short | Optical Detection and Cluster Analysis of Metal-Particle-Triggered Alternating Current Optical Partial Discharge in SF<sub>6</sub> |
| title_sort | optical detection and cluster analysis of metal particle triggered alternating current optical partial discharge in sf sub 6 sub |
| topic | electroluminescence epoxy resin insulation defect detection photon counting phase-resolved photon counting |
| url | https://www.mdpi.com/1996-1073/18/7/1649 |
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