Search Results - fully convolutional denoising autoencoder (FCDAE)

Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder

Authors: Hongmei Shi Jingcheng Chen Jin Si et al.

Source: Sensors, Vol 20, Iss 20, p 5734 (2020)

Subject Terms: intelligent fault diagnosis, residual learning, dilated pyramid network, fully convolutional denoising autoencoder, noise robustness, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/20/5734; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/995f8a47d49c4e059e88abcfd858ecc7

A denoising semi-supervised deep learning model for remaining useful life prediction of turbofan engine degradation.

Authors: Wang, Youming Wang, Yue

Source: Applied Intelligence; Oct2023, Vol. 53 Issue 19, p22682-22699, 18p

Subject Terms: REMAINING useful life, DEEP learning, CONVOLUTIONAL neural networks, TURBOFAN engines, SUPERVISED learning, STANDARD deviations, FEATURE extraction

Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder.

Authors: Shi, Hongmei Chen, Jingcheng Si, Jin et al.

Source: Sensors (14248220); Oct2020, Vol. 20 Issue 20, p5734, 1p

Subject Terms: ROLLER bearings, PYRAMIDS, FAULT diagnosis, VIBRATION tests, DEEP learning, ALGORITHMS, SIGNAL denoising

New Fault Diagnosis Method for Rolling Bearings Based on Improved Residual Shrinkage Network Combined with Transfer Learning.

Authors: Sun, Tieyang Gao, Jianxiong

Source: Sensors (14248220); Sep2024, Vol. 24 Issue 17, p5700, 18p

Subject Terms: CONVOLUTIONAL neural networks, ROLLER bearings, RANDOM noise theory, ROLLING friction, SIGNAL processing, FAULT diagnosis, WHITE noise

A small sample bearing fault diagnosis method based on variational mode decomposition, autocorrelation function, and convolutional neural network.

Authors: Wu, Yuhui Liu, Licai Qian, Shuqu

Source: International Journal of Advanced Manufacturing Technology; Feb2023, Vol. 124 Issue 11/12, p3887-3898, 12p, 2 Diagrams, 5 Charts, 2 Graphs

Subject Terms: FAULT diagnosis, CONVOLUTIONAL neural networks, NUMERICAL control of machine tools, DIAGNOSIS, MACHINE tools, ROLLER bearings

Highly Robust Vehicle Lateral Localization Using Multilevel Robust Network

Authors: Zhiyong Zheng Xu Li Jianxiao Zhu et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 34:3527-3537

Access URL: https://pubmed.ncbi.nlm.nih.gov/34623284
https://ieeexplore.ieee.org/document/9565154/