Abstract
The diagnosis system of generator rotor winding inter-turn short circuit fault based on artificial neural network (ANN) is developed. First, adapting for the need of faster speed and higher diagnosis precision of fault diagnosis, a new faster back-propagation (BP) with the error contracting gradually algorithm is selected, and the diagnosis model of rotor winding inter-turn short circuit fault based on ANN is proposed. Then the diagnosis system is developed by Visual Basic and SQL Server database, which uses the RS485 digit communication port of the exciting current meter and power meter of the generator to collect the data of exciting current, active power, inactive power, and uses the NPort to transfer them to the SQL Server database of the server. Finally, the diagnosis system is successfully applied to power plant.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.