Yanyang Zi

Orcid: 0000-0003-0714-6670

According to our database1, Yanyang Zi authored at least 42 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Fractional Exponential Power Bistable Stochastic Resonance Method for Rolling Bearing Weak Features Extraction.
IEEE Trans. Instrum. Meas., 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

Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data.
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
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem.
IEEE Trans. Ind. Informatics, 2016

Periodic Transients Separation Algorithm for Detecting Bearing Faults.
CoRR, 2016

Multi-domain description method for bearing fault recognition in varying speed condition.
Proceedings of the IECON 2016, 2016

Fault diagnosis from visualization perspective using stream statistics.
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

Sparsity-based Algorithm for Detecting Faults in Rotating Machines.
CoRR, 2015

Fault Detection of Rotation Machinery using Periodic Time-Frequency Sparsity.
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
EEMD method and WNN for fault diagnosis of locomotive roller bearings.
Expert Syst. Appl., 2011

2010
A multidimensional hybrid intelligent method for gear fault diagnosis.
Expert Syst. Appl., 2010

2009
Application of an intelligent classification method to mechanical fault diagnosis.
Expert Syst. Appl., 2009

2008
Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme.
Math. Comput. Simul., 2008

A new approach to intelligent fault diagnosis of rotating machinery.
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


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