The invention provides a charging pile fault diagnosis method, a computer readable medium and equipment, the method is a charging pile fault diagnosis method based on adaptive feature mode decomposition and a kernel extreme learning machine (AFMD-KELM), and the method comprises the following steps: (1) data acquisition and preparation; (2) signal self-adaptive decomposition; (3) fault feature screening; (4) building and training a charging pile fault diagnosis model; and (5) fault diagnosis of the charging pile. According to the method, the collected charging pile sensor signal can be adaptively decomposed into a plurality of feature components, important features are selected according to importance description indexes, effective information in the signal is extracted, and noise interference is reduced. And the extracted features are classified by using a tuna swarm optimized kernel extreme learning machine, so that the accuracy of charging pile fault diagnosis is further improved.

    本申请提供了一种充电桩故障诊断方法、计算机可读介质及设备,其中,方法为基于自适应特征模态分解与核极限学习机(Adaptive feature mode decomposition–Kernel extreme learning machine,AFMD‑KELM)的充电桩故障诊断方法,包括:(1)数据获取与准备;(2)信号自适应分解;(3)故障特征筛选;(4)充电桩故障诊断模型搭建与训练;(5)充电桩故障诊断。本发明将采集到的充电桩传感器信号可以自适应地分解为多个特征分量,根据重要性刻画指标选择出其中重要的特征,提取信号中有效信息并减少噪声的干扰。利用金枪鱼群优化的核极限学习机将提取的特征进行分类,进一步提高充电桩故障诊断的准确率。


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    Title :

    Charging pile fault diagnosis method, computer readable medium and equipment


    Additional title:

    一种充电桩故障诊断方法、计算机可读介质及设备


    Contributors:
    FENG LONGJI (author) / FANG LEI (author) / XU JUN (author) / HE YINGHONG (author) / LIN HE (author) / WU FANGZHU (author) / CHU CHENGBO (author) / WANG ZIHU (author) / XING XIAOFAN (author) / ZHAO YI (author)

    Publication date :

    2024-02-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen





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