基于振动信号及深度学习的结构健康监测实验教学设计

Experimental teaching design of structural health monitoring based on vibration signals and deep learning

该文基于团队在振动力学应用领域的最新科研成果,构建了基于振动信号测试及深度学习的结构健康监测实验教学系统。通过振动力学基本理论知识与人工智能领域深度学习技术的拓展应用,旨在使学生在掌握课程基本知识的同时,培养处理复杂问题的综合能力和高阶思维,激发学习热情,增强科研创新能力。实践结果表明,该实验教学系统仅利用现有的振动测试设备及相对简单的教学模型,即可将学科领域最新的研究成果应用到振动力学实验教学中,实验结果演示度高、实验方法先进,有助于学生理解振动力学的基本知识,掌握振动测试的基本原理,弄清深度学习的基本方法,从而提升学生利用已学知识处理相关工程问题的能力。

Based on our latest research achievements in the application of vibration mechanics,this paper constructs an experimental teaching system of structural health monitoring based on vibration signal testing and deep learning.By expanding the application of the basic theoretical knowledge in vibration mechanics with the deep learning technology in artificial intelligence,the experimental teaching system aims to enable students to master the basic knowledge of the course,and cultivates the comprehensive ability and higher-order thinking to deal with complex problems,as well as promotes students’enthusiasm for learning and innovation ability for scientific research.The practice results show that the experimental teaching system can apply the latest research results in experimental teaching in vibration mechanics course by using the existing vibration testing equipments and relatively simple mechanical model.Meanwhile,the highly demonstrable experimental results and the advanced experimental method show that the experimental teaching system can help the students to understand the basic knowledge in vibration mechanics,master the basic principles in vibration testing and clarify the basic methods of deep learning.Consequently,the students'ability of using the learned knowledge to deal with related engineering problems can be improved.