An Intelligent Deep Learning Technique for Predicting Hobbing Tool Wear Based on Gear Hobbing Using Real-Time Monitoring Data
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- Chuang Sun & An Qu & Jun Zhang & Qiyang Shi & Zhenhong Jia, 2022. "Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Improved Variational Mode Decomposition and Machine Learning Algorithm," Energies, MDPI, vol. 16(1), pages 1-15, December.
- Jamila Hemdani & Laid Degaa & Moez Soltani & Nassim Rizoug & Achraf Jabeur Telmoudi & Abdelkader Chaari, 2022. "Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health," Energies, MDPI, vol. 15(22), pages 1-17, November.
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Keywords
artificial neural network (ANN); gear hobbing; Industry 4.0; remaining useful life (RUL); tool condition monitoring (TCM); artificial intelligence;All these keywords.
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