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首页> 外文会议>Conference on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies >FUZZY DATA FUSION UTILIZING RELEVANCE VECTOR MACHINES WITH APPLICATION TO PRESSURIZED WATER REACTOR MONITORING
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FUZZY DATA FUSION UTILIZING RELEVANCE VECTOR MACHINES WITH APPLICATION TO PRESSURIZED WATER REACTOR MONITORING

机译：利用相关性矢量机的模糊数据融合在加压水反应器监测中

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摘要

In this work a new methodology for monitoring reactor systems is introduced and itsapplication on pressurized water reactor (PWR) data is presented. The methodology implements asynergistic framework of various relevance vector machines and fuzzy inference. The goal of theframework is to fuse the sensor readings and provide them in a solid form to the operator: this solidform is identified as the state of the reactor. Initially, each of the relevance vector machines fusesthe data taken from a specific set of sensors, which have been assigned to it. In the next step, thefused data in the form of a nominal value are forwarded to a fuzzy inference system that takes thevalues of all the relevance vector machines and further fuses the data by providing a single valuethat matches the state of the reactor. This proposed methodology is applied on a set of real-worlddata taken from the LOFT Facility, which is a setup to simulate a pressurized water reactor. Resultsdemonstrate the efficiency of the method in identifying the correct reactor state, while reducing thevolume of processing data.
机译：在这项工作中，引入了用于监控反应堆系统的新方法及其提出了对加压水反应器（PWR）数据的应用。方法实现了一个各种相关矢量机的协同框架和模糊推断。目标的目标框架是为了使传感器读数熔断并以固体形式向操作员提供：这种坚实形式被识别为反应器的状态。最初，每个相关的矢量机器保险丝从一组特定的传感器拍摄的数据已被分配给它。在下一步中，标称值形式的融合数据被转发到采用的模糊推理系统所有相关矢量机的值并通过提供单个值来进一步融合数据与反应堆的状态匹配。这一提出的方法应用于一组现实世界从Loft设施取出的数据，这是模拟加压水反应堆的设置。结果展示在识别正确反应器状态时的方法的效率，同时减少了处理数据的体积。

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