Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi-Layer Perceptron

Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan

(2023) Luca Viale et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining Useful Life Prediction Using Dual-Channel LSTM with Time Feature and Its Difference

(2022) Cheng Peng et al.   Entropy

A data-driven degradation prognostic strategy for aero-engine under various operational conditions

(2021) Cunsong Wang et al.   NEUROCOMPUTING

Prognostics and health management: A review from the perspectives of design, development and decision

(2021) Yang Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion

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

Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE

(2021) Yong Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A similarity based methodology for machine prognostics by using kernel two sample test

(2020) Haoshu Cai et al.   ISA TRANSACTIONS

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

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

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

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

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

(2019) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

(2019) Sen Zhao et al.   MEASUREMENT

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation in prognostics using deep convolution neural networks

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

RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model

(2017) Qingqing Zhai et al.   IEEE Transactions on Industrial Informatics

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

Health Index-Based Prognostics for Remaining Useful Life Predictions in Electrical Machines

(2016) Feng Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction

(2014) Linxia Liao et al.   IEEE TRANSACTIONS ON RELIABILITY

Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression

(2013) Theodoros H. Loutas et al.   IEEE TRANSACTIONS ON RELIABILITY

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING