Lingli Cui
Orcid: 0000-0003-2883-4018
According to our database1,
Lingli Cui
authored at least 57 papers
between 2006 and 2026.
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Bibliography
2026
Sparse stage path graph Kolmogorov-Arnold Networks (KANs) for bearing remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2026
2025
Frequency Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution Based on Diagnostic Feature Spectrum for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Maximum cyclostationary characteristic energy index deconvolution and its application for bearing fault diagnosis.
Reliab. Eng. Syst. Saf., 2025
Reliab. Eng. Syst. Saf., 2025
Multi-perception graph convolutional tree-embedded network for aero-engine bearing health monitoring with unbalanced data.
Reliab. Eng. Syst. Saf., 2025
An integrated dual-scale similarity-based method for bearing remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2025
A reliable bearing remaining useful life prediction method based on multi-hierarchy dynamic evaluation and uncertainty amelioration.
Reliab. Eng. Syst. Saf., 2025
A temporal-spatial multi-order weighted graph convolution network with refined feature topology graph for imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2025
Dynamic model-driven dictionary learning-inspired domain adaptation strategy for cross-domain bearing fault diagnosis.
Reliab. Eng. Syst. Saf., 2025
Sparse graph structure fusion convolutional network for machinery remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2025
Continual learning for unknown domain fault diagnosis in rotating machinery via Diffusion-Integrated Dynamic Mixture Experts.
Eng. Appl. Artif. Intell., 2025
Time-frequency self-similarity enhancement network and its application in wind turbines fault analysis.
Adv. Eng. Informatics, 2025
Dual graph driven-consistent representation learning method for semi-supervised fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2025
2024
An Adaptive Sparse Graph Learning Method Based on Digital Twin Dictionary for Remaining Useful Life Prediction of Rolling Element Bearings.
IEEE Trans. Ind. Informatics, September, 2024
Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings.
IEEE Trans. Reliab., June, 2024
Local Optimal Scaling Chirplet Transform for Processing Nonstationary Mechanical Vibration Signals.
IEEE Trans. Instrum. Meas., 2024
High-Dimensional Synchrosqueezing Chirplet Transform for Analyzing Signals With Multiple Nonproportional Frequencies.
IEEE Trans. Instrum. Meas., 2024
Digital Twin-Driven Graph Convolutional Memory Network for Defect Evolution Assessment of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing.
Reliab. Eng. Syst. Saf., 2024
A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis.
Expert Syst. Appl., 2024
Dictionary domain adaptation transformer for cross-machine fault diagnosis of rolling bearings.
Eng. Appl. Artif. Intell., 2024
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise.
Adv. Eng. Informatics, 2024
Attention guided partial domain adaptation for interpretable transfer diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data.
Adv. Eng. Informatics, 2024
Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets.
Adv. Eng. Informatics, 2024
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
2023
Flexible Generalized Demodulation for Intelligent Bearing Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, March, 2023
Tensor Singular Spectrum Decomposition: Multisensor Denoising Algorithm and Application.
IEEE Trans. Instrum. Meas., 2023
2022
IEEE Trans. Instrum. Meas., 2022
Multitask Learning-Based Self-Attention Encoding Atrous Convolutional Neural Network for Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022
Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering.
IEEE Trans. Instrum. Meas., 2022
2021
A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2021
Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Study on Fault Diagnosis Method of Planetary Gearbox Based on Turn Domain Resampling and Variable Multi-Scale Morphological Filtering.
Symmetry, 2021
2020
A Novel Weighted Sparse Representation Classification Strategy Based on Dictionary Learning for Rotating Machinery.
IEEE Trans. Instrum. Meas., 2020
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network.
IEEE Trans. Instrum. Meas., 2020
Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data.
IEEE Trans. Instrum. Meas., 2020
Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter.
IEEE Trans. Instrum. Meas., 2020
IEEE Access, 2020
An Improved Phenomenological Model of the Planetary Gearbox Based on Meshing Vibration Characteristics.
IEEE Access, 2020
2019
A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals.
Comput. Ind., 2019
A Novel Feature Enhancement Method Based on Improved Constraint Model of Online Dictionary Learning.
IEEE Access, 2019
Underdetermined Source Separation of Bearing Faults Based on Optimized Intrinsic Characteristic-Scale Decomposition and Local Non-Negative Matrix Factorization.
IEEE Access, 2019
Improved Fault Size Estimation Method for Rolling Element Bearings Based on Concatenation Dictionary.
IEEE Access, 2019
Fault Severity Classification and Size Estimation for Ball Bearings Based on Vibration Mechanism.
IEEE Access, 2019
An Intelligent Compound Fault Diagnosis Method Using One-Dimensional Deep Convolutional Neural Network With Multi-Label Classifier.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
Quantitative and Localization Fault Diagnosis Method of Rolling Bearing Based on Quantitative Mapping Model.
Entropy, 2018
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Quantitative and Localization Diagnosis of a Defective Ball Bearing Based on Vertical-Horizontal Synchronization Signal Analysis.
IEEE Trans. Ind. Electron., 2017
2014
Sensor-Based Vibration Signal Feature Extraction Using an Improved Composite Dictionary Matching Pursuit Algorithm.
Sensors, 2014
2011
Sensors, 2011
2007
Proceedings of the Third International Conference on Natural Computation, 2007
2006
Proceedings of the Ninth International Conference on Control, 2006