A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings
Authors:
- Tao ZuoTZTao Zuo
- Kai ZhangKZKai Zhang
- Qing ZhengQZQing Zheng
- Xianxin LiXLXianxin Li
- Zhixuan LiZLZhixuan Li
- Guofu DingGDGuofu Ding
- Minghang ZhaoMZMinghang Zhao
- 9 May 2023
- journal article
- research article
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 237
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities (2682022CX006)
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China (52205130)
- Key Research and Development Program of Sichuan Province (2022ZDZX0002)
- Science and Technology Department of Sichuan Province
This publication has 32 references indexed in Scilit:
- Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating ComponentsIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
- A recurrent neural network based health indicator for remaining useful life prediction of bearingsNeurocomputing, 2017
- Multi-bearing remaining useful life collaborative prediction: A deep learning approachJournal of Manufacturing Systems, 2017
- Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in PrognosticsIEEE Transactions on Neural Networks and Learning Systems, 2016
- A review of diagnostic and prognostic capabilities and best practices for manufacturingJournal of Intelligent Manufacturing, 2016
- Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive dataMechanical Systems and Signal Processing, 2016
- Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditionsJournal of Sound and Vibration, 2015
- Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machinesMechanical Systems and Signal Processing, 2015
- Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and RegressionIEEE Transactions on Instrumentation and Measurement, 2014
- A review on empirical mode decomposition in fault diagnosis of rotating machineryMechanical Systems and Signal Processing, 2013