Chuan Li

发表

Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time-frequency ridge enhancement.

Chuan Li, Vinicio Sanchez, G. Zurita, 2016, ISA transactions.

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

Yong Li, Bo Zeng, Chuan Li, 2019, Journal of Cleaner Production.

Inverse Dynamic System Identification Using Multiple Support Vector Machines

Hongjun Xia, Yun Bai, Chuan Li, 2009, 2009 International Association of Computer Science and Information Technology - Spring Conference.

Fuzzy measurement based image testing for oil particles contamination level

Bin Chen, Yong Zhang, Chuan Li, 2010, SPIE/COS Photonics Asia.

Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach

Chuan Li, Jing Chen, Shilong Wang, 2008, Ideal.

Hierarchical feature selection based on relative dependency for gear fault diagnosis

Chuan Li, G. Zurita, Diego Cabrera, 2016, Applied Intelligence.

Oil contamination level measurement based on microscopic digital image processing

Jing Chen, Chuan Li, Xianming Zhang, 2008, International Conference on Optical Instruments and Technology.

Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

Fuzzy determination of informative frequency band for bearing fault detection

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2016, J. Intell. Fuzzy Syst..

Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

Diego Cabrera, Chuan Li, Rafael E. Vásquez, 2015, Neurocomputing.

An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting.

Jin Zhang, Bo Zeng, Chuan Li, 2019, Chemosphere.

A review on data-driven fault severity assessment in rolling bearings

Diego Cabrera, Mariela Cerrada, Chuan Li, 2018 .

Time-frequency signal analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform

Chuan Li, Ming Liang, M. Liang, 2012 .

Gearbox Fault Identification and Classification with Convolutional Neural Networks

ZhiQiang Chen, René-Vinicio Sánchez, Chuan Li, 2015 .

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

Diego Cabrera, René-Vinicio Sánchez, Chuan Li, 2017, Expert Syst. Appl..

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

Diego Cabrera, Chuan Li, René-Vinicio Sánchez, 2016, Sensors.

Multi-layer neural network with deep belief network for gearbox fault diagnosis

ZhiQiang Chen, René-Vinicio Sánchez, Chuan Li, 2015 .

A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery

René Vinicio Sánchez, Diego Cabrera, Mariela Cerrada, 2016, 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization

Zhiqiang Chen, Chuan Li, José Valente de Oliveira, 2018, Intell. Data Anal..

Fault diagnosis in spur gears based on genetic algorithm and random forest

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

A systematic review of deep transfer learning for machinery fault diagnosis

Chuan Li, Yi Qin, Shaohui Zhang, 2020, Neurocomputing.

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

Diego Cabrera, Mariela Cerrada, Chuan Li, 2016 .

A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis

René Vinicio Sánchez, Chuan Li, Mariela Cerrada, 2019, IEEE Transactions on Fuzzy Systems.

A Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis

Chuan Li, Sérgio Baltazar, Helder Daniel, 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).

Exploiting Generative Adversarial Networks as an Oversampling Method for Fault Diagnosis of an Industrial Robotic Manipulator

Diego Cabrera, René-Vinicio Sánchez, Mariela Cerrada, 2020, Applied Sciences.

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss

Chuan Li, René-Vinicio Sánchez, Aijun Yin, 2020, Sensors.

Deep neural networks-based rolling bearing fault diagnosis

Zhiqiang Chen, Chuan Li, Xudong Chen, 2017, Microelectron. Reliab..

Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2016, Eng. Appl. Artif. Intell..

Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application

Bo Zeng, Chuan Li, Chuan Li, 2018, Comput. Ind. Eng..

Vibration-based gearbox fault diagnosis using deep neural networks

Chuan Li, Xudong Chen, ZhiQiang Chen, 2017 .

A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge

Chuan Li, Wanjuan Zhang, Yun Bai, 2021, Comput. Ind. Eng..

A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Diego Cabrera, Chuan Li, Gözde Ulutagay, 2018, J. Intell. Fuzzy Syst..

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego Cabrera, Fernando Sancho, Mariela Cerrada, 2015 .

Advances in intelligent computing for diagnostics, prognostics, and system health management

Chuan Li, José Valente de Oliveira, Chuan Li, 2018, J. Intell. Fuzzy Syst..

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine.

Chuan Li, Diego Cabrera, Fernando Sancho, 2020, ISA transactions.

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification

José Valente de Oliveira, René-Vinicio Sánchez, Luiz Ledo, 2017, Knowl. Based Syst..

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

Diego Cabrera, Chuan Li, René-Vinicio Sánchez, 2015, Sensors.

Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2017, Appl. Soft Comput..

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

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2016, Neurocomputing.

A fuzzy transition based approach for fault severity prediction in helical gearboxes

Diego Cabrera, Chuan Li, José Valente de Oliveira, 2016, Fuzzy Sets Syst..

An ensemble learning-based fault diagnosis method for rotating machinery

Jing Tian, Michael Pecht, Michael H. Azarian, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Hierarchical feature selection based on relative dependency for gear fault diagnosis

Diego Cabrera, René-Vinicio Sánchez, Grover Zurita, 2015, Applied Intelligence.

Rolling bearing fault diagnosis based on Deep Boltzmann machines

Zhiqiang Chen, Chuan Li, Xingyan Yao, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification

Chuan Li, Ming Liang, Tianyang Wang, 2015 .

Application Research of ARIMA Model in Wind Turbine Gearbox Fault Trend Prediction

Yi Yang, Chuan Li, Yun Bai, 2018, 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).

Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City

Chuan Li, Diego Cabrera, M. Guallpa, 2023, Earth Science Informatics.

Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach

Chuan Li, Xiaodan Wang, Yun Bai, 2020, IEEE Access.

Deep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals

Diego Cabrera, René-Vinicio Sánchez, Chuan Li, 2019, 2019 Prognostics and System Health Management Conference (PHM-Paris).