VIRTUAL PERCEPTION AND APPLICATION METHOD FOR KEY TEMPERATURE MEASUREMENT POINTS OF OFFSHORE WIND TURBINES

Cheng Yi; Zhang Yangyu; Hu Yang; Hu Yaozong; Liu Bingbing; Liu Jizhen

doi:10.19912/j.0254-0096.tynxb.2024-1115

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (10) : 735-745. DOI: 10.19912/j.0254-0096.tynxb.2024-1115

VIRTUAL PERCEPTION AND APPLICATION METHOD FOR KEY TEMPERATURE MEASUREMENT POINTS OF OFFSHORE WIND TURBINES

Cheng Yi¹, Zhang Yangyu¹, Hu Yang¹, Hu Yaozong¹, Liu Bingbing², Liu Jizhen¹

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Abstract

To address the operational challenge of offshore wind turbines in the high-temperature and high-humidity environment of the southeastern coast, which are prone to overheating faults, a key temperature measurement point virtual perception and application method based on finite difference domain-deep neural networks （FDD-DNN） is proposed. Firstly, a high-dimensional abnormal operational data identification method integrating mechanism analysis and Isolation Forest algorithm, as well as a high-dimensional similar condition-based missing data imputation method, is proposed. Then, a finite difference regression vector that can characterize the operational conditions and time-delay characteristics of the wind turbine is defined, and a soft margin support vector machine （SSVM） is introduced to partition the differential dynamic operational domain. On this basis, a domain-based temporal dynamic modeling method based on DNN is proposed to achieve refined characterization and virtual perception of key temperature measurement points under full operational conditions. Finally, an engineering method for the deployment and application of the virtual perception model is proposed. Taking the main shaft temperature of offshore wind turbines as an example, the results show that the proposed method improves all evaluation metrics.

Key words

offshore wind turbines / temperature measurement point / deep neural networks / finite difference domain / virtual perception / model deployment

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Cheng Yi, Zhang Yangyu, Hu Yang, Hu Yaozong, Liu Bingbing, Liu Jizhen. VIRTUAL PERCEPTION AND APPLICATION METHOD FOR KEY TEMPERATURE MEASUREMENT POINTS OF OFFSHORE WIND TURBINES[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 735-745 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1115

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