LSTM-Based Stacked Autoencoders for Early Anomaly Detection in Induction Heating Systems
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- José Manuel Díaz Moreno & Concepción García Vázquez & María Teresa González Montesinos & Francisco Ortegón Gallego & Giuseppe Viglialoro, 2021. "Industrial Steel Heat Treating: Numerical Simulation of Induction Heating and Aquaquenching Cooling with Mechanical Effects," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
- Mi Zhou & Hongxun Liu & Liqun Peng & Yue Qin & Dan Chen & Lin Zhang & Denise L. Mauzerall, 2022. "Environmental benefits and household costs of clean heating options in northern China," Nature Sustainability, Nature, vol. 5(4), pages 329-338, April.
- Prashant Kumar & Prince Kumar & Ananda Shankar Hati & Heung Soo Kim, 2022. "Deep Transfer Learning Framework for Bearing Fault Detection in Motors," Mathematics, MDPI, vol. 10(24), pages 1-14, December.
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anomaly detection; autoencoder; deep learning; induction heating system; LSTM;All these keywords.
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