Application of Robotic Key Technology in Wind Power Bearing Fault Diagnosis and Failure Prediction Technology

Authors

  • Jiwu Tang Dalian Jiaotong University, Dalian 116028, Liaoning, China
  • Xu Liang Beijing Information Science and Technology University, Beijing 100096, China
  • Ming Huang Dalian Jiaotong University, Dalian 116028, Liaoning, China
  • Wenjing Hu College of applied technology, Dalian Ocean University, Wafangdian 116300, Liaoning, China
  • Zhiming Rong College of applied technology, Dalian Ocean University, Wafangdian 116300, Liaoning, China

Abstract

Wind energy occupies a pivotal position in the development of clean energy and has become one of the fastest growing renewable energy sources. This paper analyzes the application of robotic key technology in wind power bearing fault diagnosis and failure prediction technology and studies the current situation and future development of wind power bearing faults. This research uses distributed experimental methods to record data to obtain experimental results. Using the current data statistics of wind capacity across the world, the fault units, forms and causes of wind turbine farms such as Donggang, Saihanba, Yumen are analyzed. To do so, we construct a fault diagnosis technical model and failure prediction model using robotic
remote monitoring technology, data analysis and signal acquisition technology. The experiment results show that the total difference between each major wind farm from 2018 is not large and the maximum failure time of each wind turbine subsystem is 33 minutes.

Keywords: robot Key technology, wind power bearing, bearing fault diagnosis, failure prediction technology

Cite As

J. Tang, X. Liang, M. Huang, W. Hu, Z. Rong, "Application of Robotic Key Technology in Wind Power Bearing
Fault Diagnosis and Failure Prediction Technology", vol. 30 no. 4, pp. 319-330, 2022.


Downloads

Published

2022-07-01

Issue

Vol. 30 No. 4 (2022): International Journal of Engineering Intelligent Systems

Section

General Submission

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.