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

本研究旨在开发电梯和游艺机结构健康监测系统，用于检测电梯和游艺机的不可见初始损伤。利用加速度传感器和钢丝绳试验机进行了初始损伤检测实验，研究了特征提取方法的合适信号处理方法和基于机器学习的损伤识别方法。通过对钢丝绳的响应加速度和泄漏通量的测量，证明了对钢丝绳的初始损伤和锈蚀能够进行高精度的检测。

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.