METHOD AND SYSTEM FOR MONITORING OPERATING CONDITIONS IN A STEAM GENERATOR
    1.
    发明申请
    METHOD AND SYSTEM FOR MONITORING OPERATING CONDITIONS IN A STEAM GENERATOR 审中-公开
    用于监测蒸汽发生器运行条件的方法和系统

    公开(公告)号:US20150330866A1

    公开(公告)日:2015-11-19

    申请号:US14652708

    申请日:2013-12-20

    Abstract: A system and method for monitoring operating conditions of tubes in a steam generator. The system comprises sensors, affixed to the tubes, for detecting one or more of mechanical strains, pressures, and temperatures in the tubes; or a camera positioned in the steam generator, the camera for capturing thermal images of the tubes; or both the sensors and the camera. The system also comprises one or more computers connected to the sensors, or the camera, or both the sensors and the camera, the computers for receiving one or more of the mechanical strains, pressures, temperatures, and thermal images, and monitoring the operating conditions of the tubes. The method comprises receiving, at one or more times, one or more of pressures, mechanical strains, temperatures, and infrared photon counts of the tubes; identifying segments of the tubes to which pertains the pressures, mechanical strains, temperatures, and infrared photon counts; and monitoring the operating conditions of the tubes.

    Abstract translation: 一种用于监测蒸汽发生器中的管的操作条件的系统和方法。 系统包括固定到管上的传感器,用于检测管中的一个或多个机械应变,压力和温度; 或位于蒸汽发生器中的照相机,用于捕获管的热图像的照相机; 或传感器和相机两者。 该系统还包括连接到传感器的一个或多个计算机,或相机,或传感器和相机两者,用于接收一个或多个机械应变,压力,温度和热图像的计算机,以及监视操作条件 的管子。 该方法包括一次或多次接收管的压力,机械应变,温度和红外光子计数中的一个或多个; 识别与压力,机械应变,温度和红外光子计数有关的管的段; 并监测管的工作状态。

    VULNERABILITY-DRIVEN CYBERATTACK PROTECTION SYSTEM AND METHOD FOR INDUSTRIAL ASSETS

    公开(公告)号:US20230058974A1

    公开(公告)日:2023-02-23

    申请号:US17405387

    申请日:2021-08-18

    Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given input adversarial sample, update a trained attack detection model with the given input adversarial sample; and generate a second decision boundary based on the updated trained attack detection model. Numerous other aspects are provided.

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