Dec 15, 2023 · To achieve a high-precision and robust diagnosis of few-shot GIS insulation defects on-site, this paper introduces the MAML algorithm into SN and proposes a ...
Dec 15, 2023 · A novel hybrid meta-learning for a few-shot GIS insulation defect diagnosis is proposed. The meta Siamese network (MSN) is designed by incorporating the model- ...
To address these issues, a novel hybrid meta-learning for a few-shot GIS insulation defect diagnosis is proposed. The meta Siamese network (MSN) is designed by ...
A novel hybrid meta-learning for few-shot gas-insulated switchgear insulation defect diagnosis · Yanxin Wang, Jielu Yan, +3 authors. Yingsan Geng · Published in ...
A novel hybrid meta-learning for few-shot gas-insulated switchgear insulation defect diagnosis ; Journal: Expert Systems with Applications, 2023, p. 120956.
Data-driven diagnosis methods have been systematically investigated for the diagnosis of gas-insulated switchgear (GIS) partial discharge (PD).
A Novel Hybrid Meta-learning for Few-Shot Gas-Insulated switchgear Insulation Defect Diagnosis · Article. July 2023. ·. 28 Reads. ·. 3 Citations. Expert Systems ...
Novel metric-based meta-learning model for few-shot diagnosis of partial discharge in a gas-insulated switchgear. https://doi.org/10.1016/j.isatra.2022.08.009.
Mar 23, 2023 · A meta-autoencoder-based zero-shot learning (MAZL) method is proposed for the diagnosis of GIS insulation defects.
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It develops reliable and personalized PD diagnosis models by collaborating with multiple clients and solves the problem of small sample ...
Missing: hybrid few- shot