Visual monitoring and structural health assessment method for key components of special equipment
Experiments show that this engineering technology method has obvious advantages in detection accuracy, prediction reliability, and computational efficiency, providing a solid engineering technology foundation for the development of intelligent monitoring technology for key components of special equipment.