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Volume 11
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Article

A Method for Rotor Speed Measurement and Operating State Identification of Hydro-Generator Units Based on YOLOv5

by
Jiajun Liu
,
Lei Xiong
,
Ji Sun
*,
Yue Liu
,
Rui Zhang
and
Haokun Lin
School of Electrical Engineering, Xi’an University of Technology, Xi’an 710000, China
*
Author to whom correspondence should be addressed.
Machines 2023, 11(7), 758; https://doi.org/10.3390/machines11070758
Submission received: 30 May 2023 / Revised: 6 July 2023 / Accepted: 14 July 2023 / Published: 20 July 2023
(This article belongs to the Topic Hydroelectric Power)
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Abstract

With the rapid development of artificial intelligence, machine vision and other information technologies in the construction of smart power plants, the requirements of power plants for the state monitoring of hydro-generator units (HGU) are becoming higher and higher. Based on this, this paper applies YOLOv5 to the state monitoring scenario of HGU, and proposes a method for rotor speed measurement (RSM) and operating state identification (OSI) of HGUs based on the YOLOv5. The proposed method is applied to the actual RSM and OSI of HGUs. The experimental results show that the Precision and Recall of the proposed method for rotor image are 99.5% and 100%, respectively. Compared with the traditional methods, the online image monitoring based on machine vision not only realizes high-precision RSM and the real-time and accurate determination of operating states, but also realizes video image monitoring of the rotor, the operation trend prediction of the rotor and the early warning of abnormal operating states, so that staff can find the hidden dangers in time and ensure the safe operation of the HGU.
Keywords: artificial intelligence; hydro-generator unit; YOLOv5; rotor speed measurement; online monitoring artificial intelligence; hydro-generator unit; YOLOv5; rotor speed measurement; online monitoring

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MDPI and ACS Style

Liu, J.; Xiong, L.; Sun, J.; Liu, Y.; Zhang, R.; Lin, H. A Method for Rotor Speed Measurement and Operating State Identification of Hydro-Generator Units Based on YOLOv5. Machines 2023, 11, 758. https://doi.org/10.3390/machines11070758

AMA Style

Liu J, Xiong L, Sun J, Liu Y, Zhang R, Lin H. A Method for Rotor Speed Measurement and Operating State Identification of Hydro-Generator Units Based on YOLOv5. Machines. 2023; 11(7):758. https://doi.org/10.3390/machines11070758

Chicago/Turabian Style

Liu, Jiajun, Lei Xiong, Ji Sun, Yue Liu, Rui Zhang, and Haokun Lin. 2023. "A Method for Rotor Speed Measurement and Operating State Identification of Hydro-Generator Units Based on YOLOv5" Machines 11, no. 7: 758. https://doi.org/10.3390/machines11070758

APA Style

Liu, J., Xiong, L., Sun, J., Liu, Y., Zhang, R., & Lin, H. (2023). A Method for Rotor Speed Measurement and Operating State Identification of Hydro-Generator Units Based on YOLOv5. Machines, 11(7), 758. https://doi.org/10.3390/machines11070758

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