相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
Yiwei Cheng et al.
ADVANCED ENGINEERING INFORMATICS (2021)
Transfer remaining useful life estimation of bearing using depth-wise separable convolution recurrent network
Gangjin Huang et al.
MEASUREMENT (2021)
An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation
Tangbin Xia et al.
COMPUTERS IN INDUSTRY (2020)
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Biao Wang et al.
IEEE TRANSACTIONS ON RELIABILITY (2020)
Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion
Yubin Pan et al.
MECHANISM AND MACHINE THEORY (2019)
Long short-term memory for machine remaining life prediction
Jianjing Zhang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
Machinery health indicator construction based on convolutional neural networks considering trend burr
Liang Guo et al.
NEUROCOMPUTING (2018)
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
Yuting Wu et al.
NEUROCOMPUTING (2018)
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
A Novel Image Feature for the Remaining Useful Lifetime Prediction of Bearings Based on Continuous Wavelet Transform and Convolutional Neural Network
Youngji Yoo et al.
APPLIED SCIENCES-BASEL (2018)
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Liang Guo et al.
NEUROCOMPUTING (2017)
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem
Yu Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)
A Model-Based Method for Remaining Useful Life Prediction of Machinery
Yaguo Lei et al.
IEEE TRANSACTIONS ON RELIABILITY (2016)
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression
Abdenour Soualhi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method
Sheng Hong et al.
DIGITAL SIGNAL PROCESSING (2014)
分享论文
