Thermal monitoring of low voltage switchgear using thermal ionization detector

Hussain, G. Amjad; Shafiq, Muhammad; Lehtonen, Matti

doi:10.1109/rtucon.2016.7763142

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Thermal monitoring of low voltage switchgear using thermal ionization detector

Cited by 4 publications

References 12 publications

Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging

Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging

A Novel Thermal Assessment Method for Material Degradation of Switchgear Connections in MV Distribution System

Research on External Insulation State Detection Method Based on Information Fusion

Contact Info

Product

Resources

About