The invention discloses an elevator fault diagnosis method and system based on graph convolution. The elevator fault diagnosis method comprises the steps that a vibration signal generated when an elevator runs is converted into a horizontal visible graph; inputting the horizontal views into a graph convolutional network to obtain spatial features of the vibration signals; inputting the spatial feature into a gating circulation unit to obtain a time sequence feature of the vibration signal; according to the method, the spatial features and the time sequence features are fused, elevator faults are diagnosed, the fault features of the elevator in the running state are comprehensively captured through an algorithm combining a graph convolutional network and a gating circulation unit, calculation redundancy is reduced, and diagnosis accuracy and real-time performance are improved.

    本发明公开了一种基于图卷积的电梯故障诊断方法及系统,包括:将电梯运行时振动信号转换为水平可视图;将该水平可视图输入图卷积网络,得到该振动信号的空间特征;将该空间特征输入门控循环单元,得到该振动信号的时序特征;融合该空间特征和该时序特征,对电梯故障进行诊断,通过结合图卷积网络和门控循环单元的算法,从而全面捕捉电梯运行状态下的故障特征,并减少计算冗余,提高诊断的准确性和实时性。


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    Title :

    Elevator fault diagnosis method and system based on graph convolution


    Additional title:

    一种基于图卷积的电梯故障诊断方法及系统


    Contributors:
    WU HAOKUN (author) / YIN LI (author) / GAO QINGFANG (author) / LI ZHIWU (author)

    Publication date :

    2025-02-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS



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