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WhatsApp: +86 18203695377WEBSep 30, 2023 · To reduce coal consumption, nitrogen oxide (NOx), and carbon emissions for coalfired units, combustion optimization has become not only a hot issue for scientists but also a practical engineering for engineers. A datadriven multiple linear regression (MLR) model is proposed to solve the timeconsuming problems of boiler online .
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WhatsApp: +86 18203695377WEBMar 1, 2023 · BiLSTM model construction this study designs the automatic text classifiion process of coal mine hidden danger information, as shown in Fig. 2, based on the improved word2vec and deep learning steps of data collection, word segmentation training, word vector training, model training, model evaluation, and actual .
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WhatsApp: +86 18203695377WEBOct 26, 2020 · This paper presents a comprehensive stepwise methodology for implementing industry in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coalfired plant using real operational data is considered in the study. Conventional and advanced AIbased techniques are used to present comprehensive .
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WhatsApp: +86 18203695377WEBSep 1, 2020 · In the second set of test, the actual operation data of the coal mill was used for testing based on the trained model in the first set of test. During the test, the actual operation data of a coal mill for 5000 s was selected as the data samples, which contained the conditions of multiple coal interruption. The results are shown in Fig. 14.
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