Vollständiger Abstract
Worum geht es in dieser Arbeit?
Transformer winding failures are driven by the cumulative degradation from repeated short-circuit shocks rather than a single extreme event. Current standards rely on static strength checks using as-manufactured material properties, ignoring both thermal aging and load-history effects. To address this gap, we propose a nonlinear fatigue cumulative damage framework that couples a long-term thermal-aging spectrum, converted into an equivalent aging duration and a global property correction, with a micro-spectrum of individual short-circuit events, discretized into an eight-level variable-amplitude stress history. The resulting six-step workflow shifts the paradigm from passive strength checking to proactive life management, offering utilities a physics-informed framework for estimating the residual fatigue life of aging transformers.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Chunyan Zang, Peng Li, Feng Jiang, Ruijuan Tan, Ke Wang, Dandan Zhang, Peng Chen, Xiangyue Longhe
- Quelle
- Energies
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 1996-1073
- Zitationen
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Zitierfähiger Nachweis
Chunyan Zang, Peng Li, Feng Jiang, Ruijuan Tan, Ke Wang, Dandan Zhang, Peng Chen, Xiangyue Longhe (2026). Nonlinear Fatigue Damage Assessment for Transformer Windings Under Thermal Aging and Repeated Short-Circuit Loading. Energies. https://doi.org/10.3390/en19174175
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