Shisheng Zhong
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
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
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
Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment.
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
Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps.
IEEE Trans. Instrum. Meas., 2022
CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.
Qual. Reliab. Eng. Int., 2022
J. Intell. Manuf., 2022
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps.
Comput. Ind., 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 Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021
A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering.
Sensors, 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
IEEE Trans. Ind. Informatics, 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
J. Intell. Manuf., 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
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
Expert Syst. Appl., 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
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2007
Approximation Capability Analysis of Parallel Process Neural Network with Application to Aircraft Engine Health Condition Monitoring.
Proceedings of the Advances in Neural Networks, 2007
2005
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 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