Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
2021 ◽
Vol 11
(2)
◽
pp. 143-155
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Abstract Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper presents a new approach to the monitoring of a regenerative heat exchanger in a steam power plant, which is based on a specific use of the Recurrent Neural Network (RNN). The proposed approach was tested using real data. This approach can be easily adapted to similar monitoring applications of other industrial dynamic objects.
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2020 ◽
Vol 38
(2)
◽
pp. 439-446
Keyword(s):
2021 ◽
Vol 698
(1)
◽
pp. 012006
Keyword(s):
2021 ◽
Vol 1125
(1)
◽
pp. 012086
2020 ◽
Vol 1003
◽
pp. 012048
Keyword(s):
2020 ◽
Vol 1683
◽
pp. 042070
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