LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems

Dynamic parametric modeling-based model updating strategy of aeroengine casings

(2021) Chengwei FEI et al.   Chinese Journal of Aeronautics

Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk

(2021) Behrooz Keshtegar et al.   ENGINEERING WITH COMPUTERS

Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue

(2021) Lei Han et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields

(2020) Cheng Lu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship

(2020) Cheng-Wei Fei et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Probabilistic framework for fatigue life assessment of notched components under size effects

(2020) Ding Liao et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

Enhanced network learning model with intelligent operator for the motion reliability evaluation of flexible mechanism

(2020) Cheng-Wei Fei et al.   AEROSPACE SCIENCE AND TECHNOLOGY

A multimodal and hybrid deep neural network model for Remaining Useful Life estimation

(2019) Ali Al-Dulaimi et al.   COMPUTERS IN INDUSTRY

NBLSTM: Noisy and Hybrid CNN and BLSTM-based Deep Architecture for Remaining Useful Life Estimation

(2019) Ali Al-dulaimi et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

(2019) Zhengmin Kong et al.   Applied Sciences-Basel

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Deep separable convolutional network for remaining useful life prediction of machinery

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

Improved Decomposed-Coordinated Kriging Modeling Strategy for Dynamic Probabilistic Analysis of Multicomponent Structures

(2019) Cheng Lu et al.   IEEE TRANSACTIONS ON RELIABILITY

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

Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

(2018) Lei Ren et al.   IEEE Access

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

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

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

(2016) Linxia Liao et al.   APPLIED SOFT COMPUTING

Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach

(2016) Martha A. Zaidan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A probabilistic fatigue approach for riveted joints using Monte Carlo simulation

(2015) Rui F. Sanches et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

An intelligent condition-based maintenance platform for rotating machinery

(2011) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS