Lin Lin
Orcid: 0000-0001-9525-1168Affiliations:
- Harbin Institute of Technology, School of Mechatronics Engineering, China
- Huazhong University of Science and Technology, Department of mechanical engineering, Wuhan, China (PhD 1995)
According to our database1,
Lin Lin
authored at least 48 papers
between 2005 and 2026.
Collaborative distances:
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Bibliography
2026
GIRMSF-global information reconstruction and multi-scale feature sharpening framework for knowledge graph embedding.
Expert Syst. Appl., 2026
2025
DKAMFormer: Domain Knowledge-Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine.
IEEE CAA J. Autom. Sinica, August, 2025
J. Intell. Manuf., February, 2025
Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system.
Neurocomputing, 2025
PSTFormer: A novel parallel spatial-temporal transformer for remaining useful life prediction of aeroengine.
Expert Syst. Appl., 2025
Reconstruction method of aircraft wing stress field under limited measurement points via multi-source heterogeneous information fusion.
Adv. Eng. Informatics, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Optimizing Driving Parameters of the Jumbo Drill Efficiently with XGBoost-DRWIACO Framework: Applied to Increase the Feed Speed.
Sensors, April, 2024
SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks.
Expert Syst. Appl., March, 2024
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines.
Expert Syst. Appl., March, 2024
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction.
Reliab. Eng. Syst. Saf., January, 2024
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications.
Reliab. Eng. Syst. Saf., 2024
SelectE: Multi-scale adaptive selection network for knowledge graph representation learning.
Knowl. Based Syst., 2024
HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines.
Knowl. Based Syst., 2024
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks.
Inf. Syst., 2024
Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework.
Eng. Appl. Artif. Intell., 2024
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines.
Adv. Eng. Informatics, 2024
2023
Using combinatorial optimization to solve entity alignment: An efficient unsupervised model.
Neurocomputing, November, 2023
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines.
Comput. Ind., October, 2023
CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity.
Neural Comput. Appl., August, 2023
Sensors, July, 2023
Adv. Eng. Informatics, April, 2023
Eng. Appl. Artif. Intell., 2023
2022
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2022
CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.
Qual. Reliab. Eng. Int., 2022
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.
Adv. Eng. Informatics, 2022
2021
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.
Reliab. Eng. Syst. Saf., 2021
Eng. Appl. Artif. Intell., 2021
2020
A similarity model based on reinforcement local maximum connected same destination structure oriented to disordered fusion of knowledge graphs.
Appl. Intell., 2020
2019
Long-term prediction of system degradation with similarity analysis of multivariate patterns.
Reliab. Eng. Syst. Saf., 2019
Trans-layer model learning: A hierarchical modeling strategy for real-time reliability evaluation of complex systems.
Reliab. Eng. Syst. Saf., 2019
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
2018
Aeroengine After-Maintenance Performance Prediction Based on Simplified Mixed Takagi - Sugeno Model.
J. Aerosp. Inf. Syst., July, 2018
PGA/MOEAD: a preference-guided evolutionary algorithm for multi-objective decision-making problems with interval-valued fuzzy preferences.
Int. J. Syst. Sci., 2018
Multi-objective decision-making model based on CBM for an aircraft fleet with reliability constraint.
Int. J. Prod. Res., 2018
Aero-Engine Exhaust Gas Temperature Prognostic Model Based on Gated Recurrent Unit Network.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction.
Neurocomputing, 2017
Random forests-based extreme learning machine ensemble for multi-regime time series prediction.
Expert Syst. Appl., 2017
Development and application of maintenance decision-making support system for aircraft fleet.
Adv. Eng. Softw., 2017
2016
Novel continuous function prediction model using an improved Takagi-Sugeno fuzzy rule and its application based on chaotic time series.
Eng. Appl. Artif. Intell., 2016
An improved correlation-based anomaly detection approach for condition monitoring data of industrial equipment.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016
2015
Novel adaptive hybrid rule network based on TS fuzzy rules using an improved quantum-behaved particle swarm optimization.
Neurocomputing, 2015
Expert Syst. Appl., 2015
Novel informative feature samples extraction model using cell nuclear pore optimization.
Eng. Appl. Artif. Intell., 2015
2014
Process Takagi-Sugeno model: A novel approach for handling continuous input and output functions and its application to time series prediction.
Knowl. Based Syst., 2014
2013
Handling missing values and unmatched features in a CBR system for hydro-generator design.
Comput. Aided Des., 2013
2005
Development of a Web-based collaborative manufacturing system for parallel kinematic machines.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005