A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction

Anomaly monitoring improves remaining useful life estimation of industrial machinery

(2020) Gurkan Aydemir et al.   JOURNAL OF MANUFACTURING SYSTEMS

Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention

(2020) Xiang Li et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

(2020) Ioannis Anagiannis et al.   Applied Sciences-Basel

Diamond-coated mechanical seal remaining useful life prediction based on convolution neural network

(2019) Zhibin Lin et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

A new direct second-order reliability analysis method

(2018) Xianzhen Huang et al.   APPLIED MATHEMATICAL MODELLING

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

(2018) Lei Ren et al.   IEEE Access

Physics-based Gaussian process for the health monitoring for a rolling bearing

(2018) Seyed M.Mehdi Hassani.N et al.   ACTA ASTRONAUTICA

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Direct Remaining Useful Life Estimation Based on Support Vector Regression

(2017) Racha Khelif et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Remaining Useful Life Estimation of Insulated Gate Biploar Transistors (IGBTs) Based on a Novel Volterra k-Nearest Neighbor Optimally Pruned Extreme Learning Machine (VKOPP) Model Using Degradation Data

(2017) Zhen Liu et al.   SENSORS

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations

(2016) Cunji Zhang et al.   SENSORS

A Physics-Based Modeling Approach for Performance Monitoring in Gas Turbine Engines

(2015) Houman Hanachi et al.   IEEE TRANSACTIONS ON RELIABILITY

Dynamic Reliability Assessment for Multi-State Systems Utilizing System-Level Inspection Data

(2015) Yu Liu et al.   IEEE TRANSACTIONS ON RELIABILITY

Remaining useful life prediction of rolling element bearings based on health state assessment

(2015) Zhiliang Liu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines

(2015) Fernando Lasheras et al.   SENSORS

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

(2014) Shengjin Tang et al.   Energies

Degradation data-driven approach for remaining useful life estimation

(2014) Zhiliang Fan et al.   Journal of Systems Engineering and Electronics

Combining Relevance Vector Machines and exponential regression for bearing residual life estimation

(2012) Francesco Di Maio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation based on stochastic deterioration models: A comparative study

(2012) Khanh Le Son et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY