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Chuan Li 0003
Person information
- affiliation: Dongguan University of Technology, College of Mechanical Engineering, China
- affiliation (former): Chongqing Technology and Business University, Chongqing Engineering Laboratory for Detection, Jiangbei, China
Other persons with the same name
- Chuan Li — disambiguation page
- Chuan Li 0001 — University of Mainz, Germany (and 3 more)
- Chuan Li 0002
— Sichuan University, College of Computer Science, Chengdu, China
- Chuan Li 0004
- Chuan Li 0005
- Chuan Li 0006
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2020 – today
- 2024
- [j73]Quanqing Yu, Rui Xiong
Corrections to "Water-Resistant Smartphone Technologies". IEEE Access 12: 42316 (2024) - [j72]Xiaoyun Gong, Mengxuan Hao, Chuan Li, Wenliao Du, Ziqiang Pu:
Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults. Neurocomputing 610: 128508 (2024) - [j71]Liangwei Zhang
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. IEEE Internet Things J. 11(13): 23096-23109 (2024) - [j70]Jianyu Long
Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults. J. Intell. Manuf. 35(4): 1455-1467 (2024) - [j69]Yan Zhang
Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. Knowl. Based Syst. 293: 111679 (2024) - [j68]Chuan Li
An Asynchronous Gated Recurrent Network for Estimating Critical Transition of Bearing Deterioration. IEEE Trans. Ind. Informatics 20(2): 1498-1507 (2024) - [j67]Ziqiang Pu
Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. IEEE Trans. Ind. Informatics 20(10): 12189-12199 (2024) - [j66]Jianyu Long
Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j65]Yifan Wu, Chuan Li, Shuai Yang, Yun Bai:
Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults. Appl. Soft Comput. 142: 110358 (2023) - [j64]Zhe Yang, Yunwei Huang, Faisal Nazeer, Yanyang Zi, Gianluca Valentino
A novel fault detection method for rotating machinery based on self-supervised contrastive representations. Comput. Ind. 147: 103878 (2023) - [j63]Liangwei Zhang
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions. Eng. Appl. Artif. Intell. 119: 105735 (2023) - [j62]Diego Cabrera, María J. Quinteros, Mariela Cerrada, René-Vinicio Sánchez, Mario Guallpa, Fernando Sancho, Chuan Li:
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. Earth Sci. Informatics 16(2): 1373-1388 (2023) - [j61]Ziqiang Pu
Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot. Expert Syst. Appl. 222: 119754 (2023) - [j60]Jianyu Long, Yibin Chen, Zhe Yang, Yunwei Huang, Chuan Li:
A novel self-training semi-supervised deep learning approach for machinery fault diagnosis. Int. J. Prod. Res. 61(23): 8238-8251 (2023) - [j59]Ziqiang Pu
Generative adversarial one-shot diagnosis of transmission faults for industrial robots. Robotics Comput. Integr. Manuf. 83: 102577 (2023) - [j58]Chuan Li
Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings. IEEE Trans. Ind. Informatics 19(11): 11182-11191 (2023) - [c6]Xiaotong Lei, Zhe Yang, Yunwei Huang, Jianyu Long, Chuan Li, Huiyu Huang:
Anomaly Detection of Rolling Element Bearings Based on Contrastive Representation. CSCWD 2023: 528-532 - 2022
- [j57]Ziqiang Pu
VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. IEEE Intell. Syst. 37(3): 65-75 (2022) - [j56]Jianyu Long, Panos M. Pardalos, Chuan Li:
Level-based multi-objective particle swarm optimizer for integrated production scheduling and vehicle routing decision with inventory holding, delivery, and tardiness costs. Int. J. Prod. Res. 60(11): 3319-3338 (2022) - [j55]Zhe Yang
Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification. IEEE Trans. Ind. Electron. 69(7): 7394-7404 (2022) - [j54]Ziqiang Pu
A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. IEEE Trans. Ind. Electron. 69(8): 8411-8419 (2022) - [j53]Wenliao Du
From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j52]Jianyu Long
Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j51]Yun Bai
A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge. Comput. Ind. Eng. 155: 107227 (2021) - [j50]Chuan Li
One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning. IEEE Trans. Ind. Electron. 68(9): 8768-8776 (2021) - [j49]Ziqiang Pu
Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j48]Hongchao Wang
Coupled Hidden Markov Fusion of Multichannel Fast Spectral Coherence Features for Intelligent Fault Diagnosis of Rolling Element Bearings. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j47]Jingjing Zhong
Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c5]Yadong Wei, Xiaoman Cai, Jianyu Long, Zhe Yang, Chuan Li:
Self-supervised Contrastive Representation Learning for Machinery Fault Diagnosis. NCAA 2021: 347-359 - 2020
- [j46]Chuan Li
Forecasting Bus Passenger Flows by Using a Clustering-Based Support Vector Regression Approach. IEEE Access 8: 19717-19725 (2020) - [j45]Jianyu Long
A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production. Appl. Soft Comput. 92: 106271 (2020) - [j44]Diego Cabrera, Adriana Guamán, Shaohui Zhang, Mariela Cerrada
Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor. Neurocomputing 380: 51-66 (2020) - [j43]Chuan Li
A systematic review of deep transfer learning for machinery fault diagnosis. Neurocomputing 407: 121-135 (2020) - [j42]Diego Cabrera
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification. Inf. Sci. 524: 1-14 (2020) - [j41]Jianwen Guo, Jiapeng Wu
Generative Transfer Learning for Intelligent Fault Diagnosis of the Wind Turbine Gearbox. Sensors 20(5): 1361 (2020) - [j40]Aijun Yin, Yinghua Yan, Zhiyu Zhang, Chuan Li
Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss. Sensors 20(8): 2339 (2020) - [j39]Shaohui Zhang, Zhenzhong Sun
Deep Fuzzy Echo State Networks for Machinery Fault Diagnosis. IEEE Trans. Fuzzy Syst. 28(7): 1205-1218 (2020) - [j38]Shaohui Zhang
Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. IEEE Trans. Ind. Informatics 16(2): 779-789 (2020) - [j37]Jianyu Long
Evolving Deep Echo State Networks for Intelligent Fault Diagnosis. IEEE Trans. Ind. Informatics 16(7): 4928-4937 (2020) - [j36]Jianyu Long
A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers. IEEE Trans. Instrum. Meas. 69(3): 683-692 (2020)
2010 – 2019
- 2019
- [j35]Quanqing Yu
Water-Resistant Smartphone Technologies. IEEE Access 7: 42757-42773 (2019) - [j34]Jingjing Zhong, Jianyu Long, Shaohui Zhang
Flexible Kurtogram for Extracting Repetitive Transients for Prognostics and Health Management of Rotating Components. IEEE Access 7: 55631-55639 (2019) - [j33]Diego Cabrera
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. IEEE Access 7: 70643-70653 (2019) - [j32]Shaohui Zhang, Zhenzhong Sun, Jianyu Long, Chuan Li
Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders. Comput. Ind. 105: 164-176 (2019) - [j31]Jianyu Long
A hybrid multi-objective genetic local search algorithm for the prize-collecting vehicle routing problem. Inf. Sci. 478: 40-61 (2019) - [j30]Chuan Li, Zhe Jia, Arghya Chakravorty
DelPhi Suite: New Developments and Review of Functionalities. J. Comput. Chem. 40(28): 2502-2508 (2019) - [j29]Yun Bai
A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction. J. Intell. Manuf. 30(5): 2245-2256 (2019) - [j28]Chuan Li
A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis. IEEE Trans. Fuzzy Syst. 27(7): 1362-1382 (2019) - 2018
- [j27]Bo Zeng
Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application. Comput. Ind. Eng. 118: 278-290 (2018) - [j26]Mariela Cerrada
A fuzzy transition based approach for fault severity prediction in helical gearboxes. Fuzzy Sets Syst. 337: 52-73 (2018) - [j25]Zhiqiang Chen, Ronglong Wang, René-Vinicio Sánchez, José Valente de Oliveira
An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization. Intell. Data Anal. 22(2): 363-382 (2018) - [j24]Chuan Li
Advances in intelligent computing for diagnostics, prognostics, and system health management. J. Intell. Fuzzy Syst. 34(6): 3397-3401 (2018) - [j23]Chuan Li
A comparison of fuzzy clustering algorithms for bearing fault diagnosis. J. Intell. Fuzzy Syst. 34(6): 3565-3580 (2018) - [j22]Kun He
Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines. Sensors 18(4): 1298 (2018) - 2017
- [j21]Diego Cabrera
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation. Appl. Soft Comput. 58: 53-64 (2017) - [j20]Yun Bai
A multi-pattern deep fusion model for short-term bus passenger flow forecasting. Appl. Soft Comput. 58: 669-680 (2017) - [j19]Fannia Pacheco
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. Expert Syst. Appl. 71: 69-86 (2017) - [j18]Chuan Li
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification. Knowl. Based Syst. 129: 39-60 (2017) - [j17]Zhiqiang Chen
Deep neural networks-based rolling bearing fault diagnosis. Microelectron. Reliab. 75: 327-333 (2017) - 2016
- [j16]Mariela Cerrada
Hierarchical feature selection based on relative dependency for gear fault diagnosis. Appl. Intell. 44(3): 687-703 (2016) - [j15]Bo Zeng
A novel multi-variable grey forecasting model and its application in forecasting the amount of motor vehicles in Beijing. Comput. Ind. Eng. 101: 479-489 (2016) - [j14]Chuan Li
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification. Eng. Appl. Artif. Intell. 50: 287-301 (2016) - [j13]Bo Zeng
Development of an optimization method for the GM(1, N) model. Eng. Appl. Artif. Intell. 55: 353-362 (2016) - [j12]Fannia Pacheco
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions. Neurocomputing 194: 192-206 (2016) - [j11]Chuan Li
Fuzzy determination of informative frequency band for bearing fault detection. J. Intell. Fuzzy Syst. 30(6): 3513-3525 (2016) - [j10]Chuan Li
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning. Sensors 16(6): 895 (2016) - [c4]Fannia Pacheco
Clustering algorithm using rough set theory for unsupervised feature selection. IJCNN 2016: 3493-3499 - [c3]Fannia Pacheco
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery. LA-CCI 2016: 1-6 - 2015
- [j9]Chuan Li
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis. Neurocomputing 168: 119-127 (2015) - [j8]Mariela Cerrada
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal. Sensors 15(9): 23903-23926 (2015) - 2014
- [j7]Chuan Li
Enhancement of the Wear Particle Monitoring Capability of Oil Debris Sensors Using a Maximal Overlap Discrete Wavelet Transform with Optimal Decomposition Depth. Sensors 14(4): 6207-6228 (2014) - 2013
- [j6]Bo Zeng, Chuan Li
Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination. J. Appl. Math. 2013: 472065:1-472065:8 (2013) - [j5]Chuan Li, Marharyta Petukh, Lin Li, Emil Alexov:
Continuous development of schemes for parallel computing of the electrostatics in biological systems: Implementation in DelPhi. J. Comput. Chem. 34(22): 1949-1960 (2013) - 2012
- [j4]Nicholas Smith, Shawn Witham, Subhra Sarkar, Jie Zhang, Lin Li, Chuan Li, Emil Alexov:
DelPhi web server v2: incorporating atomic-style geometrical figures into the computational protocol. Bioinform. 28(12): 1655-1657 (2012) - [j3]Chuan Li, Lin Li, Jie Zhang, Emil Alexov:
Highly efficient and exact method for parallelization of grid-based algorithms and its implementation in DelPhi. J. Comput. Chem. 33(24): 1960-1966 (2012) - [j2]Chuan Li, Ming Liang:
A generalized synchrosqueezing transform for enhancing signal time-frequency representation. Signal Process. 92(9): 2264-2274 (2012) - 2011
- [j1]Chuan Li
Scheduling optimisation for supply chain in networked manufacturing. Int. J. Comput. Appl. Technol. 40(1/2): 85-90 (2011)
2000 – 2009
- 2008
- [c2]Chuan Li, Xianming Zhang, Shilong Wang, Yutao Dong, Jing Chen:
Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach. IDEAL 2008: 387-394 - 2006
- [c1]Chuan Li, Shilong Wang:
Next-Day Power Market Clearing Price Forecasting Using Artificial Fish-Swarm Based Neural Network. ISNN (2) 2006: 1290-1295
Coauthor Index
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