A Transfer Learning Architecture to Detect Faulty Insulators in Powerlines
Author:
Affiliation:
1. Thapar Institute of Engineering, Technology, Patiala, India
2. ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/61/10479121/10398487.pdf?arnumber=10398487
Reference23 articles.
1. TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting
2. Remote sensing methods for power line corridor surveys
3. Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning;Jenssen;Int. J. Elect. Power Energy Syst.,2018
4. Localization of multiple insulators by orientation angle detection and binary shape prior knowledge
5. Fault detection of insulator based on saliency and adaptive morphology
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