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A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis

IEEE transactions on reliability, 2022-03, Vol.71 (1), p.429-442

2022

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Multistage Attack–Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution

Risk analysis, 2022-05, Vol.42 (5), p.1086-1105

2022

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Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates

IEEE transaction on neural networks and learning systems, 2023-10, Vol.34 (10), p.7074-7088

2023

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Transformer for High-Speed Train Wheel Wear Prediction With Multiplex Local-Global Temporal Fusion

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12

2022

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An empirical analysis of data preprocessing for machine learning-based software cost estimation

Information and software technology, 2015-11, Vol.67, p.108-127

2015

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Definitions of generalized multi-performance weighted multi-state K¯-out-of-n system and its reliability evaluations

Reliability engineering & system safety, 2020-07, Vol.199, p.105876-8, Article 105876

2020

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Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning

IEEE transactions on reliability, 2023-09, Vol.72 (3), p.975-988

2023

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A Novel Adaptive Undersampling Framework for Class-Imbalance Fault Detection

IEEE transactions on reliability, 2023-09, Vol.72 (3), p.1-15

2023

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A multi-sensor fusion-based prognostic model for systems with partially observable failure modes

IIE transactions, 2024-06, Vol.ahead-of-print (ahead-of-print), p.1-14

2024

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A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment

IEEE transactions on power systems, 2013-08, Vol.28 (3), p.2660-2669

2013

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A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-Ion Batteries Capacity Prediction

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.3008-3017

2024

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Redundancy allocation under state‐dependent distributional uncertainty of component lifetimes

Production and operations management, 2023-03, Vol.32 (3), p.930-950

2023

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Optimal Defense Resources Allocation for Power System Based on Bounded Rationality Game Theory Analysis

IEEE transactions on power systems, 2021-09, Vol.36 (5), p.4223-4234

2021

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Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems

IIE transactions, 2024-08, Vol.56 (8), p.793-810

2024

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Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection

IEEE transactions on industrial informatics, 2022-07, Vol.18 (7), p.4510-4519

2022

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A Systematic Approach to the High-Level Maintenance Scheduling for High-Speed Trains in China

IEEE transactions on reliability, 2024-03, Vol.73 (1), p.1-14

2024

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Wind Turbine Blade Early Fault Detection With Faulty Label Unknown and Labeling Bias

IEEE transactions on industrial informatics, 2023-07, Vol.19 (7), p.8116-8126

2023

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Deep Reinforcement Learning for Dynamic Opportunistic Maintenance of Multi-Component Systems With Load Sharing

IEEE transactions on reliability, 2023-09, Vol.72 (3), p.863-877

2023

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Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles

Reliability engineering & system safety, 2022-10, Vol.226, p.108648, Article 108648

2022

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A review on prognostics and health management (PHM) methods of lithium-ion batteries

Renewable & sustainable energy reviews, 2019-12, Vol.116, p.109405, Article 109405

2019

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Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment

IEEE transactions on reliability, 2015-03, Vol.64 (1), p.154-166

2015

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Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Renewable & sustainable energy reviews, 2022-06, Vol.161, p.112282, Article 112282

2022

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Iterative Error Self-Correction for Robust Fault Diagnosis of Mechanical Equipment With Noisy Label

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-13

2022

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Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis

Energies (Basel), 2018-02, Vol.11 (2), p.316

2018

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A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis

Multistage Attack–Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution

Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates

Transformer for High-Speed Train Wheel Wear Prediction With Multiplex Local-Global Temporal Fusion

An empirical analysis of data preprocessing for machine learning-based software cost estimation

Definitions of generalized multi-performance weighted multi-state K¯-out-of-n system and its reliability evaluations

Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning

A Novel Adaptive Undersampling Framework for Class-Imbalance Fault Detection

A multi-sensor fusion-based prognostic model for systems with partially observable failure modes

A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment

A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-Ion Batteries Capacity Prediction

Redundancy allocation under state‐dependent distributional uncertainty of component lifetimes

Optimal Defense Resources Allocation for Power System Based on Bounded Rationality Game Theory Analysis

Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems

Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection

A Systematic Approach to the High-Level Maintenance Scheduling for High-Speed Trains in China

Wind Turbine Blade Early Fault Detection With Faulty Label Unknown and Labeling Bias

Deep Reinforcement Learning for Dynamic Opportunistic Maintenance of Multi-Component Systems With Load Sharing

Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles

A review on prognostics and health management (PHM) methods of lithium-ion batteries

Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Iterative Error Self-Correction for Robust Fault Diagnosis of Mechanical Equipment With Noisy Label

Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis

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