Yanyang Zi
Orcid: 0000-0003-0714-6670
According to our database1,
Yanyang Zi
authored at least 45 papers
between 2005 and 2024.
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Bibliography
2024
DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain.
IEEE Trans. Ind. Informatics, June, 2024
A Fractional Exponential Power Bistable Stochastic Resonance Method for Rolling Bearing Weak Features Extraction.
IEEE Trans. Instrum. Meas., 2024
A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal.
Expert Syst. Appl., 2024
2023
Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
A novel fault detection method for rotating machinery based on self-supervised contrastive representations.
Comput. Ind., May, 2023
Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2023
A Heterogeneous Time-Tracking Fusion and Application to Health Evaluation of Aerospace Engines.
IEEE Trans. Instrum. Meas., 2023
2022
Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions.
IEEE Trans. Neural Networks Learn. Syst., 2022
Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals.
IEEE Trans. Instrum. Meas., 2022
A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds.
IEEE Trans. Instrum. Meas., 2022
Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification.
IEEE Trans. Ind. Electron., 2022
Health Indicator Construction Method of Bearings Based on Wasserstein Dual-Domain Adversarial Networks Under Normal Data Only.
IEEE Trans. Ind. Electron., 2022
Transfer Learning-based SAE-CNN for Industrial Data Processing in Multiple working Conditions Recognition.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
2021
A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation.
IEEE Trans. Instrum. Meas., 2021
A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains.
IEEE Trans. Instrum. Meas., 2021
A Bilateral Second-Order Synchrosqueezing Transform and Application to Vibration Monitoring of Aerospace Engine.
IEEE Trans. Instrum. Meas., 2021
Multi-scale and multi-pooling sparse filtering: A simple and effective representation learning method for intelligent fault diagnosis.
Neurocomputing, 2021
2020
A Local Weighted Multi-Instance Multilabel Network for Fault Diagnosis of Rolling Bearings Using Encoder Signal.
IEEE Trans. Instrum. Meas., 2020
Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions.
Reliab. Eng. Syst. Saf., 2020
2019
Intelligent Diagnosis of V-Type Marine Diesel Engines Based on Multifeatures Extracted From Instantaneous Crankshaft Speed.
IEEE Trans. Instrum. Meas., 2019
An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data.
IEEE Trans. Instrum. Meas., 2019
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life.
IEEE Trans. Ind. Informatics, 2019
A Novel Underdetermined Blind Source Separation Method and Its Application to Source Contribution Quantitative Estimation.
Sensors, 2019
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2018
LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification.
IEEE Trans. Ind. Electron., 2018
A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems Using SVM Technique.
IEEE Access, 2018
2017
Dynamic reliability assessment and prediction for repairable systems with interval-censored data.
Reliab. Eng. Syst. Saf., 2017
Hyper-parameter optimization based nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics.
Reliab. Eng. Syst. Saf., 2017
2016
IEEE Trans. Ind. Informatics, 2016
Multi-domain description method for bearing fault recognition in varying speed condition.
Proceedings of the IECON 2016, 2016
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
2015
An Enhanced Data Visualization Method for Diesel Engine Malfunction Classification Using Multi-Sensor Signals.
Sensors, 2015
CoRR, 2015
An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
2014
Rotating Machinery Fault Detection Based on Improved Ensemble Empirical mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2014
2013
Customized Multiwavelets for Planetary Gearbox Fault Detection Based on Vibration Sensor Signals.
Sensors, 2013
2011
Expert Syst. Appl., 2011
2010
Expert Syst. Appl., 2010
2009
Expert Syst. Appl., 2009
2008
Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme.
Math. Comput. Simul., 2008
Expert Syst. Appl., 2008
2005
Hybrid Intelligent Forecasting Model Based on Empirical Mode Decomposition, Support Vector Regression and Adaptive Linear Neural Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005