Development of the structural health monitoring system for prevention of the accident of an elevator and the amusement machine

本研究旨在为电梯及游乐设备的结构健康监测系统开发一套可检测电梯及游乐设备的无形初始损伤的结构健康监测系统。通过加速度传感器和钢丝绳测试仪的初始损伤检测实验，对特征提取方法的信号处理和机器学习的损伤识别进行了研究。通过对响应加速度和泄漏通量的测量，证明了该方法能够高精度地检测钢丝绳的初始损伤和锈蚀。

This study aimed to develop for the structural health monitoring system which can detected invisible initial damage for an elevator and the amusement machine. The experiment of initial damage detection by using an acceleration sensor and the wire rope tester was executed, then, an appropriate signal processing for the feature extraction method and the damage identification by the machine learning were examined. From measurements of the response acceleration and leakage flux, the initial damage and rust of the wire rope was proven to be able to detect by high accuracy.