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DEVICE FAULT WARNING SYSTEM ON BASIS OF MODEL LIFE-CYCLE MANAGEMENT

机译:基于模型生命周期管理的设备故障警告系统

摘要

A device fault warning system on the basis of model life-cycle management, comprising a data preparation module, a real-time fault warning module, a model risk management module, a model self-learning module, and a model library. The data preparation module reads external real-time data, pre-processes the same, and transmits the processed external real-time data to the real-time fault warning module and the model risk management module, and an analysis is performed thereon. The real-time fault warning module predicts the risk of failure and generates warning information and maintenance suggestions. The model risk management module evaluates the reliability of model results. The model self-learning module reads the accumulated marked samples and re-trains the model in the real-time fault warning module. The system can realize life-cycle online monitoring for models and fault warnings of a device, and can realize dynamic update on the models, ensuring the constant reliability of the model results and introducing the running data and operational data to minimize warning errors.
机译:一种基于模型生命周期管理的设备故障预警系统,包括数据准备模块,实时故障预警模块,模型风险管理模块,模型自学习模块和模型库。数据准备模块读取外部实时数据,对其进行预处理,并将处理后的外部实时数据发送至实时故障警告模块和模型风险管理模块,并对其进行分析。实时故障警告模块可以预测故障风险,并生成警告信息和维护建议。模型风险管理模块评估模型结果的可靠性。模型自学习模块读取累积的标记样本,并在实时故障警告模块中对模型进行重新训练。该系统可以实现对设备模型的生命周期在线监测和设备故障预警,可以对模型进行动态更新,保证了模型结果的持续可靠性,并引入运行数据和运行数据,最大限度地减少了警告错误。

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