Title | On the Use of LSTM Networks for Predictive Maintenance in Smart Industries |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Bruneo, D.., and F.. De Vita |
Conference Name | 2019 IEEE International Conference on Smart Computing (SMARTCOMP) |
Date Published | June |
Keywords | Deep Learning, Engines, History, Industry 4.0, Keras, learning (artificial intelligence), Logic gates, LSTM networks hyperparameters, Machine learning, machine learning approach, machine learning techniques, maintenance engineering, maintenance scheduling, predictive maintenance, production engineering computing, recurrent neural nets, remaining life assessment, remaining useful life, RUL, Sensor systems, smart industries, Smart Industry, TensorFlow |
DOI | 10.1109/SMARTCOMP.2019.00059 |