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。Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization
Yapeng Zhou et al.
JOURNAL OF CLEANER PRODUCTION (2020)
A novel deep learning method based on attention mechanism for bearing remaining useful life prediction
Yuanhang Chen et al.
APPLIED SOFT COMPUTING (2020)
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)
Remaining useful life prediction using multi-scale deep convolutional neural network
Han Li et al.
APPLIED SOFT COMPUTING (2020)
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions
Jun Zhu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density
Lang Xu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Potential, challenges and future directions for deep learning in prognostics and health management applications
Olga Fink et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Similarity-based deep learning approach for remaining useful life prediction
Mengru Hou et al.
MEASUREMENT (2020)
Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset
Yong Yu et al.
NEUROCOMPUTING (2020)
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
Behnoush Rezaeianjouybari et al.
MEASUREMENT (2020)
Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion
Zahra Mahmoodzadeh et al.
SENSORS (2020)
Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine
Tarek Berghout et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Andre Listou Ellefsen et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
Chen Jinglong et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A multimodal and hybrid deep neural network model for Remaining Useful Life estimation
Ali Al-Dulaimi et al.
COMPUTERS IN INDUSTRY (2019)
Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network
Guijun Ma et al.
APPLIED ENERGY (2019)
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Yi Li et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Bidirectional handshaking LSTM for remaining useful life prediction
Ahmed Elsheikh et al.
NEUROCOMPUTING (2019)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (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)
Remaining useful life prediction of aircraft engine based on degradation pattern learning
Zeqi Zhao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
Wei Zhang et al.
SENSORS (2017)
A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
Adrian Cubillo et al.
ADVANCES IN MECHANICAL ENGINEERING (2016)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Sebastian Bach et al.
PLOS ONE (2015)