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Signal detection methods and devices in CAN-based communication networks

机译:基于CAN的通信网络中的信号检测方法和设备

摘要

PROBLEM TO BE SOLVED: To provide a signal detection method and an apparatus for improving performance in a CAN-based communication network. SOLUTION: The method is a step of receiving a CAN signal from a plurality of CAN communication nodes, a step of preprocessing the received CAN signal in the forward direction based on a forward sampling time point to generate forward input data, and a forward input. Stage of generating forward mask data and forward time interval data based on forward sampling time for data, stage of reverse preprocessing of CAN signal based on reverse sampling time to generate reverse input data, reverse input It includes a step of generating reverse mask data for data and reverse time interval data at the time of reverse sampling, and a step of inputting each of the data into a GRU-D neural network to detect an abnormal signal among CAN signals. [Selection diagram] Fig. 3
机译:要解决的问题:提供一种信号检测方法和用于提高基于CAN的通信网络性能的装置。解决方案:该方法是从多个CAN通信节点接收CAN信号的步骤,基于正向采样时间点基于前向的采样时间点预处理所接收的CAN信号以产生前向输入数据和前进输入的步骤。基于向前采样时间生成前向掩模数据和前进时间间隔数据的阶段,基于反向采样时间的CAN信号的反向预处理阶段基于反向采样时间来生成反向输入数据,反向输入它包括生成数据的反向掩模数据的步骤反向采样时的反向时间间隔数据,以及将每个数据输入到GRU-D神经网络中的步骤,以检测CAN信号之间的异常信号。 [选择图]图3

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