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• W3206421046 abstract "Pressure fluctuation is commonly used to characterize the dynamic of fluidized bed, and bubble movements resulting in pressure fluctuations will seriously affect the stable operation of fluidized bed. This paper presents an extreme value statistical analysis model that uses generalized extreme value (GEV) distribution to analyze the pressure fluctuation time series, predict its future fluctuation state, and further provide risk warning for fluidized bed operation. The pressure fluctuation time-series for four mainly fluidization behaviors (single bubble, multiple bubble, exploding bubble and transport conditions) in an actual experiment were analyzed by the proposed method. The results show that the error rate of the proposed method in this paper is controlled within±10%, and the average error rate is controlled within −1.7%–3.7%. By analyzing the risk margin of the extreme pressure fluctuations of each flow regime, the risk margin of exploding bubble is the largest, and more stringent measures should be taken to ensure the stable operation of the fluidized bed in this flow state. In summary, the risk warning of the fluidized bed can be detected in the joint efforts of the confidence interval and the risk margin of the pressure fluctuation return level of each flow regime." @default.
• W3206421046 created "2021-10-25" @default.
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• W3206421046 date "2021-12-01" @default.
• W3206421046 modified "2023-09-30" @default.
• W3206421046 title "Early risk warning method for fluidized beds using generalized extremum distribution of pressure fluctuation" @default.
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• W3206421046 doi "https://doi.org/10.1016/j.psep.2021.09.037" @default.
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