The invention relates to the technical field of crane fault diagnosis, in particular to a crane fault diagnosis method, system and equipment based on data mining and a medium, and the method comprises the following steps: collecting time sequence monitoring data of a crane, inputting the time sequence monitoring data into a correction model generated by training, and obtaining time sequence correction data output by the correction model; calculating time sequence difference data of the time sequence correction data and the time sequence monitoring data, acquiring first representative data based on the time sequence difference data, and acquiring second representative data according to the time sequence monitoring data; and using the first representative data and the second representative data to form comprehensive representative data, inputting the comprehensive representative data into the analysis model generated by training, and obtaining diagnosis result data about whether the time sequence monitoring data is abnormal or not output by the analysis model. According to the invention, the intelligence of crane fault diagnosis can be improved.

    本申请涉及起重机故障诊断技术领域,尤其涉及基于数据挖掘的起重机故障诊断方法、系统、设备及介质,方法包括:采集起重机的时间序列监测数据,把时间序列监测数据输入训练生成的修正模型,获取修正模型输出的时间序列修正数据;计算时间序列修正数据与时间序列监测数据的时间序列差异数据,基于时间序列差异数据获取第一代表数据,并且依据时间序列监测数据获取第二代表数据;使用第一代表数据和第二代表数据组成综合代表数据,将综合代表数据输入训练生成的分析模型,获得分析模型输出的关于时间序列监测数据是否异常的诊断结果数据。本申请能提升起重机故障诊断的智能性。


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    Title :

    Crane fault diagnosis method, system and equipment based on data mining and medium


    Additional title:

    基于数据挖掘的起重机故障诊断方法、系统、设备及介质


    Contributors:
    MAO JINGKUI (author) / LIU JUNLING (author) / ZHAO XIAOHE (author) / WU CHAO (author) / ZHANG RUI (author)

    Publication date :

    2025-03-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B66C Krane , CRANES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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