Jie Liu

Orcid: 0000-0001-7493-0882

Affiliations:
  • Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
  • Carleton University, Departments of Mechanical and Aerospace Engineering, Ottawa, Canada
  • University of California, Department of Mechanical Engineering, Berkeley, CA, USA (former)
  • Chongqing Technology and Business University, National Research Base of Intelligent Manufacturing Service, China (former)
  • University of Waterloo, Department of Mechanical and Mechatronics Engineering, Waterloo, Canada (PhD 2008)


According to our database1, Jie Liu authored at least 25 papers between 2008 and 2023.

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

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern.
Reliab. Eng. Syst. Saf., July, 2023

2021
Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis.
IEEE Trans. Ind. Electron., 2021

2019
Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity.
IEEE Trans. Reliab., 2019

Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique.
IEEE Access, 2019

Outlier Detection for Monitoring Data Using Stacked Autoencoder.
IEEE Access, 2019

2018
Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey.
IEEE Trans. Reliab., 2018

Particle filtering-based methods for time to failure estimation with a real-world prognostic application.
Appl. Intell., 2018

Physics-based Model and Neural Network Model for Monitoring Starter Degradation of APU.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Machine learning-based methods for TTF estimation with application to APU prognostics.
Appl. Intell., 2017

Enhancement of prognostic models for short-term degradation of gas turbines.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

2016
Developing machine learning-based models to estimate time to failure for PHM.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Simulation of ultrasonic testing for resolution of corrosion detection in pipes.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Frequency analysis on vibration signatures for gearbox spalling defect detection.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Intelligent stereo camera mobile platform for indoor service robot research.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

2015
A Physics-Based Modeling Approach for Performance Monitoring in Gas Turbine Engines.
IEEE Trans. Reliab., 2015

Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

A Cloud-Based Platform for Supporting Research Collaboration.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm.
Neural Comput. Appl., 2014

Particle Filter-Based Method for Prognostics with Application to Auxiliary Power Unit.
Proceedings of the Modern Advances in Applied Intelligence, 2014

2012
Model Fusion-Based Batch Learning with Application to Oil Spills Detection.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2010
An Enhanced Diagnostic Scheme for Bearing Condition Monitoring.
IEEE Trans. Instrum. Meas., 2010

A neural fuzzy framework for system mapping applications.
Knowl. Based Syst., 2010

A novel fuzzy framework for nonlinear system control.
Fuzzy Sets Syst., 2010

2008
An Extended Wavelet Spectrum for Bearing Fault Diagnostics.
IEEE Trans. Instrum. Meas., 2008

Bearing Fault Diagnostics Based on Reconstructed Features.
Proceedings of the Industry Applications Society Annual Meeting, 2008


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