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A Simulation Platform for Assessing the Status of the Vibration Sensor Hanging the Grid

  • 2023
  • OriginalPaper
  • Chapter
Published in:
Authors
Yaowu Lei
Jing Liu
Haoliang Hu
Dezhi Chen
Feng Zhou
Published in
The Proceedings of the 17th Annual Conference of China Electrotechnical Society
Publisher
Springer Nature Singapore

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Abstract

The chapter introduces a novel simulation platform designed to assess the status of vibration sensors in power grids, crucial for maintaining stable operations. It begins by highlighting the importance of vibration monitoring in power systems and the challenges posed by existing fault diagnosis methods. The authors establish a model of vibration sensors, simulating their operation under normal and fault conditions using a mass-spring-damping system. The platform, built on Simulink, simulates various sensor failures and evaluates sensor status using wavelet analysis and advanced regression algorithms like BP neural networks and Support Vector Regression. The platform's effectiveness is demonstrated through tests on different fault types, showcasing its ability to accurately detect and analyze sensor status changes. This comprehensive approach offers a significant advancement in vibration sensor status evaluation, promising improved reliability and efficiency in power grid operations.
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Title
A Simulation Platform for Assessing the Status of the Vibration Sensor Hanging the Grid
Authors
Yaowu Lei
Jing Liu
Haoliang Hu
Dezhi Chen
Feng Zhou
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
The Proceedings of the 17th Annual Conference of China Electrotechnical Society

Print ISBN: 978-981-9904-50-1

Electronic ISBN: 978-981-9904-51-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-0451-8_37
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