<i>In situ</i> 3D tracking method of electrical tree growth in polymers

We report a minute-scale, micrometer-resolution workflow based on focal-stack tomography (FST) under incoherent illumination for in situ 3D tracking of electrical trees in epoxy. A synchronized-trigger scheme acquires focal-plane images of the electrical tree under an AC field at 1 slice s−1, while an adaptive algorithm adjusts the z-scan range to fully enclose the tree volume. Accelerated Speeded Up Robust Feature -based rigid registration, pixel-wise Laplacian depth selection, and a 3D k-nearest-neighbor filter yield a high-fidelity point cloud that is distilled into a weighted skeleton graph (WSG). Real-time graph analytics, such as path length, growth rate, tortuosity, and fractal dimension, expose axial branching that 2D projections cannot resolve. Quantitative validation shows that the 2D micrographs underestimate branch length by ≈10%, underreport the true 3D growth rate, and miss nearly 20% of the tree's fractal complexity. The FST–WSG pipeline, thus, furnishes the first non-invasive, graph-based fingerprint of electrical-tree evolution under practical high-voltage stress, providing a powerful method for studying polymer-insulation failure mechanisms.

Authors

Institutions

Publication Details

Journal
Journal of Applied Physics
Published
2025-08-15
DOI
https://doi.org/10.1063/5.0284906
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In situ 3D tracking method of electrical tree growth in polymers

Qiaogen Zhang, Zhicheng Wu, Zhijun Ai, Junjie Zhou et al.
1 links
Journal of Applied Physics
Advanced Sensor and Energy Harvesting Materials
article

In situ 3D tracking method of electrical tree growth in polymers

Qiaogen Zhang, Zhicheng Wu, Zhijun Ai, Junjie Zhou, Qinhao Bu, Xingyu Shang
article en

Abstract

We report a minute-scale, micrometer-resolution workflow based on focal-stack tomography (FST) under incoherent illumination for in situ 3D tracking of electrical trees in epoxy. A synchronized-trigger scheme acquires focal-plane images of the electrical tree under an AC field at 1 slice s−1, while an adaptive algorithm adjusts the z-scan range to fully enclose the tree volume. Accelerated Speeded Up Robust Feature -based rigid registration, pixel-wise Laplacian depth selection, and a 3D k-nearest-neighbor filter yield a high-fidelity point cloud that is distilled into a weighted skeleton graph (WSG). Real-time graph analytics, such as path length, growth rate, tortuosity, and fractal dimension, expose axial branching that 2D projections cannot resolve. Quantitative validation shows that the 2D micrographs underestimate branch length by ≈10%, underreport the true 3D growth rate, and miss nearly 20% of the tree's fractal complexity. The FST–WSG pipeline, thus, furnishes the first non-invasive, graph-based fingerprint of electrical-tree evolution under practical high-voltage stress, providing a powerful method for studying polymer-insulation failure mechanisms.

Journal of Applied PhysicsVol. 138(7)
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.