基于深度學(xué)習(xí)的智能化二次系統(tǒng) 狀態(tài)監(jiān)測研究
Research on intelligent secondary system state monitoring based on deep learning
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摘要: 首先闡述深度學(xué)習(xí)的基本思想和幾種常用模型方法。其次，討論智能設(shè)備二次系統(tǒng)監(jiān)控的概念、監(jiān)控對象和指標(biāo)選擇。Abstract: Firstly, explain the basic ideas of deep learning and several commonly used model methods. Secondly, discuss the concept, monitoring objects, and indicator selection of secondary system monitoring for intelligent devices.
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