A device, and method, detects the presence of developing faults in rolling element bearings. Detection is accomplished by measuring the vibration of the ...
RUL prediction of rolling element bearings based on ACO-FELM. Xiangming Kong 1. ,. Ningyun Lu 1. ,. Baoli Zhang 2. ,. Jianfei Chen 2. Show full list: 4 authors.
RUL prediction of rolling element bearings based on ACO-FELM. X. Kong, N. Lu, B. Zhang, and J. Chen. SAFEPROCESS, page 1-6. IEEE, (2023 ). Links and ...
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This paper proposes a combination of two supervised machine learning techniques; namely, the regression model and multilayer artificial neural network model ...
Jun 27, 2024 · This study proposes a methodology for simulating the vibration signals during the degradation process of bearings in order to mitigate the need for historical ...
Missing: ACO- FELM.
Jul 11, 2019 · This paper proposes a RUL prediction method of rolling bearings based on multi-attention and multi-scale temporal convolution network (MA-MTCN).
Oct 25, 2023 · The fused features were subsequently fed into a deep neural network for estimating the RUL of rolling element bearings. Deutsch et al ...
Missing: ACO- FELM.
RUL prediction of rolling element bearings based on ACO-FELM. SAFEPROCESS ... A Time-Encoding Machine Based High-Speed Analog-to-Digital Converter.
A deep BiLSTM model is established for rolling bearing RUL prediction. The model is optimized by Dropout technology and piecewise learning rate to improve the ...
Missing: ACO- FELM.
The objective of this book is to help PhD students, master's students, undergraduate students, and researchers in defining research needs and techniques.