Ningyun Lu

According to our database1, Ningyun Lu authored at least 27 papers between 2009 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



Joint Distribution-Based Test Selection for Fault Detection and Isolation Under Multiple Faults Condition.
IEEE Trans. Instrum. Meas., 2021

A Data-Driven Aero-Engine Degradation Prognostic Strategy.
IEEE Trans. Cybern., 2021

A quantitative causal diagram based optimal sensor allocation strategy considering the propagation of fault risk.
J. Frankl. Inst., 2021

A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance.
IEEE CAA J. Autom. Sinica, 2021

Intelligent selection and optimization method of feature variables in fluid catalytic cracking gasoline refining process.
Comput. Chem. Eng., 2021

Diagnosis and Mitigation of Smart Cyber-Attacks on an Offshore Wind Farm Network Operator.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Diagnosis, Diagnosticability Analysis, and Test Point Design for Multiple Faults Based on Multisignal Modeling and Blind Source Separation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems.
Neurocomputing, 2020

Remaining useful life estimation with multiple local similarities.
Eng. Appl. Artif. Intell., 2020

A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains.
IEEE Trans. Intell. Transp. Syst., 2019

Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems.
IEEE Trans. Control. Syst. Technol., 2019

Islanding fault detection based on data-driven approach with active developed reactive power variation.
Neurocomputing, 2019

An RBMs-BN method to RUL prediction of traction converter of CRH2 trains.
Eng. Appl. Artif. Intell., 2019

Data-driven RUL Prediction of High-speed Railway Traction System Based on Similarity of Degradation Feature.
Proceedings of the CAA Symposium on Fault Detection, 2019

Optimal Test Sequencing Method with Unreliable Tests based on Quasi-depth First Search Algorithm.
Proceedings of the CAA Symposium on Fault Detection, 2019

Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains.
IEEE Trans. Veh. Technol., 2018

Dynamic fault prognosis for multivariate degradation process.
Neurocomputing, 2018

Real-time incipient fault detection for electrical traction systems of CRH2.
Neurocomputing, 2018

Edit Distance Based Similarity Search of Heterogeneous Information Networks.
Proceedings of the Database and Expert Systems Applications, 2018

Multidimensional Analysis Framework on Massive Data of Observations of Daily Living.
Proceedings of the Health Information Science - 6th International Conference, 2017

Incremental locally linear embedding-based fault detection for satellite attitude control systems.
J. Frankl. Inst., 2016

ToMFIR-based incipient fault detection and estimation for high-speed rail vehicle suspension system.
J. Frankl. Inst., 2015

Data mining-based flatness pattern prediction for cold rolling process with varying operating condition.
Knowl. Inf. Syst., 2014

Digraph Containment Query Is Like Peeling Onions.
Proceedings of the Database and Expert Systems Applications, 2014

A FDD method by combining transfer entropy and signed digraph and its application to air separation unit.
Proceedings of the 11th International Conference on Control, 2010

A Hierarchical Statistical Process Monitoring Strategy for Multivariable Multi-rate Industrial Processes.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009