Chuan Li

According to our database1, Chuan Li authored at least 23 papers between 2015 and 2019.

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Bibliography

2019
A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis.
IEEE Trans. Fuzzy Systems, 2019

A hybrid multi-objective genetic local search algorithm for the prize-collecting vehicle routing problem.
Inf. Sci., 2019

Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders.
Computers in Industry, 2019

Flexible Kurtogram for Extracting Repetitive Transients for Prognostics and Health Management of Rotating Components.
IEEE Access, 2019

Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery.
IEEE Access, 2019

2018
Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines.
Sensors, 2018

Advances in intelligent computing for diagnostics, prognostics, and system health management.
Journal of Intelligent and Fuzzy Systems, 2018

A comparison of fuzzy clustering algorithms for bearing fault diagnosis.
Journal of Intelligent and Fuzzy Systems, 2018

An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization.
Intell. Data Anal., 2018

A fuzzy transition based approach for fault severity prediction in helical gearboxes.
Fuzzy Sets and Systems, 2018

Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application.
Computers & Industrial Engineering, 2018

2017
Deep neural networks-based rolling bearing fault diagnosis.
Microelectronics Reliability, 2017

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification.
Knowl.-Based Syst., 2017

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery.
Expert Syst. Appl., 2017

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation.
Appl. Soft Comput., 2017

2016
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
Sensors, 2016

Fuzzy determination of informative frequency band for bearing fault detection.
Journal of Intelligent and Fuzzy Systems, 2016

A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions.
Neurocomputing, 2016

Observer-biased bearing condition monitoring: From fault detection to multi-fault classification.
Eng. Appl. of AI, 2016

Hierarchical feature selection based on relative dependency for gear fault diagnosis.
Appl. Intell., 2016

Clustering algorithm using rough set theory for unsupervised feature selection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal.
Sensors, 2015

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis.
Neurocomputing, 2015


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