Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant

Research article (2020 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), 2020) · cited 10× · AI/ML
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Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant

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Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-lstm-network-to-predict-circulating-water-pump-bearing-condition-on-coal-fired-power-plant
MLA “Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-lstm-network-to-predict-circulating-water-pump-bearing-condition-on-coal-fired-power-plant.
BibTeX @misc{4ortxyz_using-lstm-network-to-predict-circulating-water-pump-bearing-condition-on-coal-fired-power-plant_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant}}, year = {2026}, url = {https://4ort.xyz/entity/using-lstm-network-to-predict-circulating-water-pump-bearing-condition-on-coal-fired-power-plant}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using LSTM Network to Predict Circulating Water Pump Bearing Condition on Coal Fired Power Plant — https://4ort.xyz/entity/using-lstm-network-to-predict-circulating-water-pump-bearing-condition-on-coal-fired-power-plant (retrieved 2026-05-24)

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