Optimizing Prior Distribution Parameters for Probabilistic Prediction of Remaining Useful Life using Deep Learning

Dual-Threshold Attention-Guided Gan and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation

(2023) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

Fault tree analysis improvements: A bibliometric analysis and literature review

(2023) Mohammad Yazdi et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines

(2023) Mihaela Mitici et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An Optimal Tolerance Design Approach of Robot Manipulators for Positioning Accuracy Reliability

(2023) Peng Huang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

FGDAE: A new machinery anomaly detection method towards complex operating conditions

(2023) Shen Yan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of lithium-ion batteries using a hybrid model

(2022) Fang Yao et al.   ENERGY

Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems

(2022) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

(2022) Ingeborg de Pater et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-sensor information fusion-based prediction of remaining useful life of nonlinear Wiener process

(2022) Bin Wu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Degradation-Aware Ensemble of Diverse Predictors for Remaining Useful Life Prediction

(2022) Venkat P. Nemani et al.   JOURNAL OF MECHANICAL DESIGN

Deep reinforcement learning for predictive aircraft maintenance using Probabilistic Remaining-Useful-Life prognostics

(2022) Juseong Lee et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Time-varying trajectory modeling via dynamic governing network for remaining useful life prediction

(2022) Zheng Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring

(2022) Chao Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Assessment of failure rates and reliability of floating offshore wind turbines

(2022) He Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Bayesian deep-learning for RUL prediction: An active learning perspective

(2022) Rong Zhu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models

(2022) Yuanfu Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis

(2022) Keshun You et al.   SENSORS

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

(2021) Jun Xia et al.   ENGINEERING FAILURE ANALYSIS

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions

(2021) Han Cheng et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A failure analysis of floating offshore wind turbines using AHP-FMEA methodology

(2021) He Li et al.   OCEAN ENGINEERING

A probabilistic Bayesian recurrent neural network for remaining useful life prognostics considering epistemic and aleatory uncertainties

(2021) Jose Caceres et al.   Structural Control & Health Monitoring

Practical health indicator construction methodology for bearing ensemble remaining useful life prediction with ISOMAP-DE and ELM-WPHM

(2021) Yingkui Gu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Garbage classification system based on improved ShuffleNet v2

(2021) Zhichao Chen et al.   RESOURCES CONSERVATION AND RECYCLING

Remaining useful life prediction using multi-scale deep convolutional neural network

(2020) Han Li et al.   APPLIED SOFT COMPUTING

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

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

(2019) Tangbin Xia et al.   COMPUTERS IN INDUSTRY

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

(2019) Weiwen Peng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction of Lithium-Ion Battery Based on Gauss-Hermite Particle Filter

(2018) Yan Ma et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

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

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

Direct Remaining Useful Life Estimation Based on Support Vector Regression

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