A deep learning framework for sensor-equipped machine health indicator construction and remaining useful life prediction

A hierarchical scheme for remaining useful life prediction with long short-term memory networks

(2022) Tao Song et al.   NEUROCOMPUTING

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Remaining useful life estimation using deep metric transfer learning for kernel regression

(2021) Yifei Ding et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Two-phase degradation modeling and remaining useful life prediction using nonlinear wiener process

(2021) Jingdong Lin et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction

(2021) Sheng Xiang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault prediction of bearings based on LSTM and statistical process analysis

(2021) Junqiang Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

(2020) Jun Zhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault prediction of drag system using artificial neural network for prevention of dragline failure

(2020) Atma Ram Sahu et al.   ENGINEERING FAILURE ANALYSIS

Multiple degradation mode analysis via gated recurrent unit mode recognizer and life predictors for complex equipment

(2020) Qinyuan Luo et al.   COMPUTERS IN INDUSTRY

A dual-LSTM framework combining change point detection and remaining useful life prediction

(2020) Zunya Shi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

(2020) Zhenghua Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Feature Selection Algorithms for Wind Turbine Failure Prediction

(2019) Pere Marti-Puig et al.   Energies

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter

(2019) Kaixiang Peng et al.   NEUROCOMPUTING

A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems

(2019) David Laredo et al.   NEURAL NETWORKS

A new dynamic predictive maintenance framework using deep learning for failure prognostics

(2019) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

Reliable Accuracy Estimates from k-Fold Cross Validation

(2019) Tzu-Tsung Wong et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON RELIABILITY

Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos

(2018) Wenbin Du et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Long short-term memory for machine remaining life prediction

(2018) Jianjing Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components

(2018) Jason Deutsch et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation

(2017) Li Hao et al.   IEEE Transactions on Automation Science and Engineering

Data-driven modeling of truck engine exhaust valve failures: A case study

(2017) Yusen He et al.   Journal of Mechanical Science and Technology

Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy

(2017) Zhen Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of aircraft engine based on degradation pattern learning

(2017) Zeqi Zhao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making

(2015) Huchang Liao et al.   EXPERT SYSTEMS WITH APPLICATIONS

A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean

(2015) Iman Mallakpour et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

(2015) Kamran Javed et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Leveraging Degradation Testing and Condition Monitoring for Field Reliability Analysis With Time-Varying Operating Missions

(2015) Weiwen Peng et al.   IEEE TRANSACTIONS ON RELIABILITY

Condition-based maintenance effectiveness for series–parallel power generation system—A combined Markovian simulation model

(2015) A. Azadeh et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

(2014) A. Mosallam et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation

(2012) Xiao-Sheng Si et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Support vector regression for warranty claim forecasting

(2011) Shaomin Wu et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH