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KG-SR-LLM:以知识为导向的语义表示和大型语言模型框架,用于跨域轴承故障诊断.

Chengyong Xiao1, Xiaowei Liu2, Aziguli Wulamu2

  • 1School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括

本研究引入了一种使用大型语言模型 (LLM) 进行通用轴承故障诊断的新方法. 以知识为导向的语义表示和大语言模型 (KG-SR-LLM) 实现了98.36%的准确性,优于传统模型.

关键词:
大型语言模型轴承故障诊断 轴承故障诊断 轴承故障诊断跨领域的概括.域名知识融合 领域知识融合以知识为导向的微调.

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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