Nov 13, 2019 · Aimed at the present issue that the conventional machine learning algorithm cannot juggle local and global fault feature information of rotating ...
Nov 13, 2019 · In Section 4, a novel deep learning fault diagnosis method of rotating machinery based on LGDNN is proposed. The validity of the proposed fault ...
Nowadays, the intelligent fault diagnosis based on deep learning have achieved remarkable results in the fields of the industrial equipment health monitoring ...
Aimed at the present issue that the conventional machine learning algorithm cannot juggle local and global fault feature information of rotating machinery, a ...
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Dec 2, 2021 · The fault diagnosis technology of rotating machinery is one of the key means to ensure the normal operation of equipment and safe production, ...
A new local-global deep neural network and its application in rotating machinery fault diagnosis. Neurocomputing 2019; 366: 215–233. Crossref · Google Scholar.
After a brief review of early fault diagnosis methods, this paper focuses on the method models that are widely used in deep learning: deep belief networks (DBN) ...
Oct 9, 2022 · This section discusses the fundamental of fault diagnosis approach by using vibration signal analysis and an overview of DL-based techniques ( ...
Jan 23, 2023 · A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis. Neurocomputing. 2019;366:215–233. doi ...
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis · Engineering, Computer Science. Neurocomputing · 2019.