基于AI識(shí)別技術(shù)的火電廠設(shè)備缺陷智能診斷系統(tǒng)
Intelligent Diagnosis System for Thermal Power Plant Equipment Defects Based on AI Recognition Technology
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摘要: 結(jié)合深度學(xué)習(xí)和計(jì)算機(jī)視覺(jué)技術(shù)開發(fā)智能診斷系統(tǒng)，提升火電廠設(shè)備缺陷檢測(cè)效率和準(zhǔn)確性，實(shí)驗(yàn)驗(yàn)證模型診斷準(zhǔn)確率達(dá)95.2%。Abstract: A deep learning and computer vision-based system is developed to improve defect detection efficiency and accuracy in thermal power plants, achieving 95.2% diagnostic accuracy in experiments.
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