arXiv (OAI Expanded)
open access
From Winding-Fault Geometry to Reliability: Estimation and Prognosis of Stator Inter-Turn Faults
This paper develops an integrated framework for estimation, prognosis, and reliability assessment of stator inter-turn faults in induction motors. The fault is characterized by its severity, defined as the fraction of short-circuited turns, and its spatial orientation. A geometric fault model shows
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Cost Analysis of a Condition Monitoring System for Journal Bearings in Wind Turbine Gearboxes / Thomas Matthias Decker, Georg Jacobs, Martin Knops, Julian Röder#658411
- IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier#997366
- Artificial intelligence for prognostics and health management in critical machinery: a systematic review#164221
- Fault-tolerant control strategies for industrial robots: state of the art and future perspective on AI-based fault management#8897
- Modeling, Optimal Design, and Control of Linear Induction Motors for Medium-to-High-Speed Ground Transportation Systems#177960
Record · ID 1071234
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive