基于AI识别技术的火电厂设备缺陷智能诊断系统

Intelligent Diagnosis System for Thermal Power Plant Equipment Defects Based on AI Recognition Technology

  • 摘要: 结合深度学习和计算机视觉技术开发智能诊断系统,提升火电厂设备缺陷检测效率和准确性,实验验证模型诊断准确率达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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