2022
DOI: 10.1155/2022/4172622
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Study on Missing Data Filling Algorithm of Nuclear Power Plant Operation Parameters

Abstract: By analyzing the recorded operation data of a nuclear power plant (NPP), its results can serve the fault detection or operation experience feedback. Data missing exists in the recorded operation data. It may lower the data quality and affect the accuracy of the analysis results. In order to improve the data quality, two parts of researches are carried on. Firstly, to locate the missing data accurately the detecting algorithm for missing data of the NPP operation parameters based on wavelet analysis. Different … Show more

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Cited by 2 publications
(4 citation statements)
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“…Figure 1: The operating state of NPP at a specific time is represented by a set of analog parameters and switch parameters (Wang et al, 2022). The changes in switch parameters reflect the operator's control decision.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…Figure 1: The operating state of NPP at a specific time is represented by a set of analog parameters and switch parameters (Wang et al, 2022). The changes in switch parameters reflect the operator's control decision.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Operators' lack of understanding of the plant's real-time state and their inaccurate predictions about future plant states are the primary causes of human errors in control room operations (NRC Web, 2011). As shown in Figure 1, the operating state of NPP at a particular time is represented by two types of parameters -1) switch parameter, which reflects the NPP component state (e.g., Valve A, valve B), and 2) analog parameter, which shows the value of process variables captured by sensor measurements (Wang et al, 2022). The analog and switch parameters within a plant have complex physical and functional interactions.…”
Section: Introductionmentioning
confidence: 99%
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“…However, because a nuclear power plant system's data gathering, transmission, and storage equipment operates in harsh environments, breakdowns, and outside interference can result in data quality issues like missing, drifting, and jumping in operation monitoring [1]. Data quality greatly affects the application and value of data, and poor data quality can lead to ineffective utilization of data [2].…”
Section: Introductionmentioning
confidence: 99%