Method for establishing transient intelligent monitoring model of system equipment component of nuclear power unit
The invention relates to a method for establishing a transient intelligent monitoring model of a system equipment component of a nuclear power unit. The method comprises the following steps: determining a model measurement point of the transient intelligent monitoring model; obtaining training data...
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creator | MAO XIAOMING CHEN SONGJIANG YU NA YANG ZHONGQING HUANG HUAQI SHEN JIANGFEI ZHANG SHENG HUANG LIJUN YANG XIAOHU LING SHUANGHAN KAREISHI |
description | The invention relates to a method for establishing a transient intelligent monitoring model of a system equipment component of a nuclear power unit. The method comprises the following steps: determining a model measurement point of the transient intelligent monitoring model; obtaining training data of model measurement points; calculating a predicted value of each model measurement point; setting an alarm threshold value of the transient intelligent monitoring model according to the predicted value; and setting a sampling period of the transient intelligent monitoring model to complete establishment of the transient intelligent monitoring model. According to the transient intelligent monitoring model, the state deviation of the monitored object in the state change process can be accurately identified; in addition, the established transient intelligent monitoring model converts data information into measurement point information, and the required training data sample size is effectively reduced. Moreover, the |
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The method comprises the following steps: determining a model measurement point of the transient intelligent monitoring model; obtaining training data of model measurement points; calculating a predicted value of each model measurement point; setting an alarm threshold value of the transient intelligent monitoring model according to the predicted value; and setting a sampling period of the transient intelligent monitoring model to complete establishment of the transient intelligent monitoring model. According to the transient intelligent monitoring model, the state deviation of the monitored object in the state change process can be accurately identified; in addition, the established transient intelligent monitoring model converts data information into measurement point information, and the required training data sample size is effectively reduced. 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The method comprises the following steps: determining a model measurement point of the transient intelligent monitoring model; obtaining training data of model measurement points; calculating a predicted value of each model measurement point; setting an alarm threshold value of the transient intelligent monitoring model according to the predicted value; and setting a sampling period of the transient intelligent monitoring model to complete establishment of the transient intelligent monitoring model. According to the transient intelligent monitoring model, the state deviation of the monitored object in the state change process can be accurately identified; in addition, the established transient intelligent monitoring model converts data information into measurement point information, and the required training data sample size is effectively reduced. 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The method comprises the following steps: determining a model measurement point of the transient intelligent monitoring model; obtaining training data of model measurement points; calculating a predicted value of each model measurement point; setting an alarm threshold value of the transient intelligent monitoring model according to the predicted value; and setting a sampling period of the transient intelligent monitoring model to complete establishment of the transient intelligent monitoring model. According to the transient intelligent monitoring model, the state deviation of the monitored object in the state change process can be accurately identified; in addition, the established transient intelligent monitoring model converts data information into measurement point information, and the required training data sample size is effectively reduced. Moreover, the</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Method for establishing transient intelligent monitoring model of system equipment component of nuclear power unit |
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