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    • 2. 发明申请
    • SYSTEM AND METHOD FOR PROCESSING INPUT POINT CLOUD HAVING POINTS
    • 用于处理具有点的输入点云的系统和方法
    • WO2018083963A1
    • 2018-05-11
    • PCT/JP2017/037287
    • 2017-10-06
    • MITSUBISHI ELECTRIC CORPORATION
    • TIAN, DongCHEN, SihengFENG, ChenVETRO, Anthony
    • G06F17/10G06K9/00G06T15/08G06T17/00
    • Systems and methods for determining a pattern in time series data representing an operation of a machine. A memory to store and provide a set of training data examples generated by a sensor of the machine, wherein each training data example represents an operation of the machine for a period of time ending with a failure of the machine. A processor configured to iteratively partition each training data example into a normal region and an abnormal region, determine a predictive pattern absent from the normal regions and present in each abnormal region only once, and determine a length of the abnormal region. Outputting the predictive pattern via an output interface in communication with the processor or storing the predictive pattern in memory, wherein the predictive pattern is a predictive estimate of an impending failure and assists in management of the machine.
    • 用于确定代表机器操作的时间序列数据中的模式的系统和方法。 存储器提供由机器的传感器产生的一组训练数据实例,其中每个训练数据实例代表机器在机器故障结束的一段时间内的操作。 处理器,被配置为将每个训练数据示例迭代地划分成正常区域和异常区域,确定正常区域缺失并且仅出现在每个异常区域一次的预测模式,并且确定异常区域的长度。 通过与处理器通信的输出接口输出预测模式或将预测模式存储在存储器中,其中预测模式是对即将发生的故障的预测性估计,并有助于管理机器。