Ruonan Liu
Orcid: 0000-0002-1456-8444
According to our database1,
Ruonan Liu
authored at least 37 papers
between 2016 and 2024.
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Bibliography
2024
Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation.
IEEE Trans. Fuzzy Syst., November, 2024
SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors.
IEEE Trans. Ind. Informatics, August, 2024
Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions.
Neural Process. Lett., August, 2024
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network.
IEEE Internet Things J., July, 2024
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Ind. Informatics, February, 2024
IEEE Trans. Image Process., 2024
Causal intervention graph neural network for fault diagnosis of complex industrial processes.
Reliab. Eng. Syst. Saf., 2024
Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes.
Reliab. Eng. Syst. Saf., 2024
A log-based non-convex relaxation regularized regression for robust face recognition.
Inf. Sci., 2024
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference.
Neurocomputing, 2024
Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm.
Entertain. Comput., 2024
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
2023
Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures.
Sensors, December, 2023
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
2022
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data.
IEEE Trans. Ind. Informatics, 2022
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A fault diagnosis method in industrial processes with integrated feature space and optimized random forest.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
2021
Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems.
IEEE Trans. Instrum. Meas., 2021
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2021
Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions.
Math. Found. Comput., 2021
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021
2020
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2020
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2020
IEICE Trans. Inf. Syst., 2020
2019
Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture.
IEEE Trans. Ind. Electron., 2019
Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators.
Int. J. Bifurc. Chaos, 2019
IEEE Access, 2019
2018
Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train.
IEEE Trans. Instrum. Meas., 2018
IEEE Access, 2018
2017
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD.
IEEE Trans. Ind. Informatics, 2017
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine.
IEEE Trans. Ind. Informatics, 2017
2016
Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016