Publication2025
Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- IEEE Access
- Volume
- 13
- Pages
- 203519-203535
- Published
- 1 January 2025
- DOI
- 10.1109/access.2025.3639068
- Scopus ID
- 105023887625
- ISSN
- 21693536
- Authors
- 5
- Open access
- Yes
- Citations
- 2
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Grey Wolf Optimization-enhanced Support Vector Machine framework for three-phase induction motor fault classification demonstrates research innovation in fault diagnosis algorithms.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Grey Wolf Optimization-enhanced Support Vector Machine framework for three-phase induction motor fault classification demonstrates research innovation in fault diagnosis algorithms.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation”. Kortex.