Abstract
Abstract: Transformers are critical components of electric powersystems, yet precise fault identification remains difficult. The study presents a novel transformer defect diagnostic approach based on an Internet of Things (IoT) monitoring system and ensemble machine learning (EML). The IoT based monitoring system is divided into two parts: a data measuring subsystemand a data reception subsystem.To begin, the data measuring subsystem measures transformer vibration signals, which are then relayed to the remote server via the data receipt subsystem.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
