柴奕

2027

Knowledge graph-guided multi-view graph attention for multi-source domain adaptive fault diagnosis

Advanced Engineering Informatics

DOI

2026

Complex-order Darwinian particle swarm optimization

Expert Systems With Applications，Vol. 298

DOI

2026

Physics-Informed Neural Network-Based Modeling and Prediction of Electrochemical-Thermal Coupled Thermal Runaway in Lithium-ion Batteries

Journal of Physics, Conference Series

DOI

2026

Adaptive Soft Sensor Modeling for Coal-Fired Power Plants Based on a Tracking Structured State-Space Model

IEEE Transactions on Instrumentation and Measurement

DOI

2026

A DoS Attack-Aware Adaptive Switching Reinforcement Learning Control for Resilient V2G-Based Grid Frequency Regulation

IEEE Transactions on Vehicular Technology

DOI

2026

Open-Switch and Current Sensor Faults Diagnosis in Three-Level NPC Inverters Under Small Samples

IEEE transactions on industrial electronics (1982. Print)

DOI

2026

A V2G Capacity-Maximized Dispatch Control Strategy via Nested Consensus Control Learning for Grid Frequency Regulation

IEEE Transactions on Transportation Electrification

DOI

2026

Heat Diffusion Constrained Prototypical Dual Contrastive Network for Few-Shot Open-Set Fault Diagnosis

IEEE Transactions on Industrial Informatics

DOI

2025

Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics

Reliability Engineering & System Safety，Vol. 257

DOI

2025

A Generalized Remaining Useful Life Prediction Method Based on Hybrid Model and Sparse Variational Bayesian

IEEE Transactions on Industrial Informatics

DOI

2025

Comprehensive Diagnosis Method for Power Switch and Sensor Faults in Single-Phase Two-Level Rectifiers of High-Speed Train Traction Systems

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Bearing Remaining Useful Life Prediction Based on CICAE and ResConv1D-LSTM

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Mutual Information-Guided Domain-Shared Feature Learning for Bearing Fault Diagnosis Under Unknown Conditions

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Feature Distillation-Based Uniformity Few-Shot Domain Adaptation for Cross-Domain Fault Diagnosis With Sample Shortage

IEEE Transactions on Industrial Informatics

DOI

2025

A Simultaneous Detection and Tolerant Control Method for Current- and Speed-Sensor Faults in Induction Motor

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Fault Estimation for Nonlinear Distributed Parameter Systems With External Disturbances Based on Full Iterative Learning

IEEE Transactions on Cybernetics

DOI

2025

Local Feature Augmented Graph Transformer for Enhanced Industrial Process Fault Diagnosis

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Certainty and Transferability Guided Few-Shot Open-Set Cross-Domain Fault Diagnosis

IEEE Transactions on Industrial Informatics

DOI

2025

Stochastic Sparse Bayesian Identification for Nonlinear Systems From Large Dataset

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Caputo Barrier Functions and Their Applications to the Safety, Safety-and-Stability, and Input-to-State Safety of a Class of Fractional-Order Systems

Mathematics

DOI

2025

Diagnosis of Open-Switch Faults in Grid-Tied Three-Level NPC Inverters With Parameter Uncertainty Using Variable Forgetting Factor Bias-Compensation Recursive Least Squares

IEEE Transactions on Circuits and Systems Part 1: Regular Papers

DOI

2025

Multiple Open-Switch Fault Diagnosis of Grid-Connected Three-Phase Inverters Under Unknown Parameter Conditions Using ICRLS and Disturbance Sliding Mode Observer

IEEE transactions on power electronics

DOI

2024

Remaining useful life prediction using nonlinear multi-phase Wiener process and variational Bayesian approach

Reliability Engineering & System Safety，Vol. 242

DOI

2024

Self-Correcting Iterative Learning-Based Fault Estimation for Parabolic Distributed Parameter Systems

IEEE Transactions on Circuits and Systems - II - Express Briefs

DOI

2024

Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis

IEEE Transactions on Industrial Informatics

DOI

2024

An Adaptive V2G Capacity-Based Frequency Regulation Scheme With Integral Reinforcement Learning Against DoS Attacks

IEEE Transactions on Smart Grid

DOI

2024

A Simultaneous Diagnosis Approach for Power Switch, Grid-Side Current Sensor, and DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Multiple Open-Switch Fault Diagnosis for Three-Phase Four-Leg Inverter Under Unbalanced Loads via Interval Sliding Mode Observer

IEEE transactions on power electronics

DOI

2024

Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions

IEEE Sensors Journal

DOI

2024

Overcoming Limited Fault Data: Intermittent Fault Detection in Analog Circuits via Improved GAN

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Feature Adaptive Modulation and Prototype Learning for Domain Generalization Intelligent Fault Diagnosis

IEEE Transactions on Industrial Informatics

DOI

2024

A Segmented Iterative Learning Scheme-Based Distributed Fault Estimation for Switched Interconnected Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Mechanism-Assisted Deep State Space Model for Dynamic System Identification

IEEE Transactions on Industrial Informatics

DOI

2024

Comprehensive Diagnosis Strategy for Power Switch, Grid-Side Current Sensor, DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers

IEEE Transactions on Circuits and Systems Part 1: Regular Papers

DOI

2023

Self-supervised intermittent fault detection for analog circuits guided by prior knowledge

Reliability Engineering & System Safety，Vol. 233

DOI

2023

Multi-grained mode partition and robust fault diagnosis for multimode industrial processes

Reliability Engineering & System Safety，Vol. 231

DOI

2023

Reliability optimization of flexible test system based on pyro-mechanical device products production driven

Reliability Engineering & System Safety，Vol. 230

DOI

2023

Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions

Expert Systems With Applications，Vol. 212

DOI

2023

Fault diagnosis of sensor pulse signals based on improved energy fluctuation index and VMD

Frontiers of Physics

DOI

2023

Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

Processes

DOI

2023

Identification of MISO Hammerstein system using sparse multiple kernel-based hierarchical mixture prior and variational Bayesian inference.

ISA transactions

DOI

2023

A Novel Adaptive SMO-Based Simultaneous Diagnosis Method for IGBT Open-Circuit Faults and Current Sensor Incipient Faults of Inverters in PMSM Drives for Electric Vehicles

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Health Assessment of Flow Meter Calibration Device Based on Fuzzy Comprehensive Evaluation

Journal of Physics, Conference Series

DOI

2023

Fault Estimation for Switched Interconnected Nonlinear Systems With External Disturbances via Variable Weighted Iterative Learning

IEEE Transactions on Circuits and Systems - II - Express Briefs

DOI

2023

Analysis of Factors Influencing Measurement Accuracy for High-Temperature Liquid Metal Flow Sensors in Nuclear Power

Electronics

DOI

2023

Remaining useful life prediction for nonlinear two-phase degradation process with measurement errors and imperfect prior information

Measurement science and technology

DOI

2023

A Simultaneous Diagnosis Method for Power Switch and Current Sensor Faults in Grid-Connected Three-Level NPC Inverters

IEEE transactions on power electronics

DOI

2023

Topology identification of sparse network: A stochastic variational Bayesian approach

at - Automatisierungstechnik

DOI

2023

Intelligent Temperature Control of Pressure Gauge Calibration Based on ANT-LION Neural Network

Journal of Physics, Conference Series

DOI

2023

A Reduced-Order Observer-Based Method for Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of a Grid-Tied NPC Inverter

IEEE transactions on power electronics

DOI

2022

Trend attention fully convolutional network for remaining useful life estimation

Reliability Engineering & System Safety，Vol. 225

DOI

2022

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery

Measurement

DOI

2022

A deep learning method on remaining useful life estimation based on linear regression model and greed matching strategy

Other Conferences

DOI

2022

Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method

IEEE Transactions on Instrumentation and Measurement

DOI

2022

Failure Prediction and Health Management of Drum Filter Actuating Device in Nuclear Power Plant

2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)

DOI

2022

Optimal scheduling of oxygen system in steel enterprises considering uncertain demand by decreasing pipeline network pressure fluctuation

Computers and Chemical Engineering

DOI

2022

Fault estimator design based on an iterative-learning scheme according to the forgetting factor for nonlinear systems

Science China Information Sciences

DOI

2022

Rolling Bearing Fault Diagnosis Method Base on Periodic Sparse Attention and LSTM

IEEE Sensors Journal

DOI

2021

Using improved dynamic Bayesian networks in reliability evaluation for flexible test system of aerospace pyromechanical device products

Reliability Engineering & System Safety，Vol. 210

DOI

2021

Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis

DOI

2021

Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery

NCAA

DOI

2021

A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network

NCAA

DOI

2021

Impulse Signal Detection for Bearing Fault Diagnosis via Residual-Variational Mode Decomposition

Applied Sciences

DOI

2021

A New Safety Criterion for Dynamics Systems by Barrier Function based on Forward Invariant Set*

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

Construction of offline predictive controller for wind farm based on CNN-GRNN

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

Deep Transfer Learning Network for Fault Diagnosis Under Variable Working Conditions

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

Guaranteed Cost Leaderless Consensus Protocol Design for Fractional-Order Uncertain Multi-Agent Systems with State and Input Delays

Fractal and Fractional

DOI

2021

Robust Estimation of Wiener Models in the Presence of Outliers Using the VB Approach

IEEE transactions on industrial electronics (1982. Print)

DOI

2021

Application of IOT and Stresswave Analysis in Online Monitoring and Diagnosis of Large Generating

2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE)

DOI

2021

A diagnosis method for open-circuit faults in NPC three-level inverters based on novel sliding mode observer

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

Identification of Wiener-Hammerstein models based on variational bayesian approach in the presence of process noise

Journal of the Franklin Institute

DOI

2021

Fault estimation based on high order iterative learning scheme for systems subject to nonlinear uncertainties

Science China Information Sciences

DOI

2021

A nonrepetitive fault estimation design via iterative learning scheme for nonlinear systems with iteration-dependent references

Neural computing & applications (Print)

DOI

2020

Day‐ahead renewable scenario forecasts based on generative adversarial networks

International Journal of Energy Research

DOI

2020

Parallel Label Consistent KSVD-Stacked Autoencoder for Industrial Process Fault Diagnosis

DOI

2020

Iterative Dictionary Learning Based on Nonconvex Sparse Regularization and Adaptive Parameter Control

2020 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

DOI

2020

Simultaneous Load Disturbance Estimation and Speed Control for Permanent Magnet Synchronous Motors in Full Speed Range

Applied Sciences

DOI

2020

Delay-Dependent and Order-Dependent Guaranteed Cost Control for Uncertain Fractional-Order Delayed Linear Systems

Mathematics

DOI

2020

Design of unscented Kalman filter based on the adjustments of the number and placements of the sampling points.

ISA transactions

DOI

2020

An iterative learning scheme-based fault estimator design for nonlinear systems with quantised measurements

Journal of the Franklin Institute

DOI

2019

A novel feature extraction method based on discriminative graph regularized autoencoder for fault diagnosis

IFAC-PapersOnLine

DOI

2019

Remaining Useful Life Prediction of Electronic Products Based on Wiener Degradation Process

IFAC-PapersOnLine

DOI

2018

Scenario Generation for Wind Power Using Improved Generative Adversarial Networks

IEEE Access

DOI

2018

Diagnosis of Gear Faults by Using the Linear Canonical Transform in Acceleration and Deceleration Processes

IEEE Access

DOI

2017

Fault Diagnosis of Rolling Bearing Based on Wavelet Packet and Extreme Learning Machine

DOI

2012

Covergence of stochastic fuzzy Cohen-Grossberg neural networks with reaction-diffusion and distributed delays

Expert Systems With Applications，Vol. 39, No. 5

DOI

2010

An implementation of intelligent monitoring system for food processing

World Congress on Intelligent Control and Automation

DOI

2002

A prediction algorithm based on self-organizing fuzzy neural networks

Proceedings. International Conference on Machine Learning and Cybernetics

DOI

Bayesian Learning of Wiener Model in the Presence of Uncertainty