Remaining Useful Life Estimation of Aircraft Engines Using a Joint Deep Learning Model Based on TCNN and Transformer

Motion saliency based multi-stream multiplier ResNets for action recognition

(2021) Ming Zong et al.   IMAGE AND VISION COMPUTING

Genetically Optimized Prediction of Remaining Useful Life

(2021) Shaashwat Agrawal et al.   Sustainable Computing-Informatics & Systems

Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet

(2021) Saleh Albahli et al.   APPLIED SOFT COMPUTING

System reliability analysis based on dependent Kriging predictions and parallel learning strategy

(2021) Ning-Cong Xiao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

(2020) Penghua Li et al.   JOURNAL OF POWER SOURCES

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset

(2020) Yong Yu et al.   NEUROCOMPUTING

A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

(2020) Lei Ren et al.   IEEE Transactions on Industrial Informatics

Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life

(2019) Jehn-Ruey Jiang et al.   SENSORS

A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing

(2019) Chang-Hua Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

(2018) Dong Wang et al.   IEEE Access

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

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

A multi-time scale approach to remaining useful life prediction in rolling bearing

(2017) Yuning Qian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life prediction for an adaptive skew-Wiener process model

(2017) Zeyi Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Condition-Based Maintenance With Scheduling Threshold and Maintenance Threshold

(2016) Hai-Kun Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Online Performance Assessment Method_newline for a Model-Based Prognostic Approach

(2016) Yang Hu et al.   IEEE TRANSACTIONS ON RELIABILITY

Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data

(2012) Piero Baraldi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH