Publication2025
Incipient Fault Identification using EMD and Cat-Boost Classifier in Underground Distribution Cable
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 3rd International Conference on Power Electronics and Energy Icpee 2025
- Published
- 1 January 2025
- DOI
- 10.1109/icpee65973.2025.11410964
- Scopus ID
- 105036190044
- Authors
- 3
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Empirical mode decomposition and Cat Boost classifier achieve 95.59% accuracy in incipient fault detection in underground cables.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Power distribution system protection technology supports infrastructure reliability.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Incipient Fault Identification using EMD and Cat-Boost Classifier in Underground Distribution Cable”. Kortex.