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Cai Yi
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2020 – today
- 2024
- [j18]Guiting Tang, Cai Yi, Lei Liu, Du Xu, Qiuyang Zhou, Yongxu Hu, Pengcheng Zhou, Jianhui Lin:
A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings. Eng. Appl. Artif. Intell. 127(Part B): 107407 (2024) - [j17]Cai Yi, Weihao Zhang, Hu Cao, Lei Yan, Qiuyang Zhou, Ying Shi, Guiting Tang, Le Ran, Jianhui Lin:
Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location. Expert Syst. Appl. 254: 124453 (2024) - [j16]Qiuyang Zhou, Cai Yi, Lei Yan, Chenguang Huang, Xinwu Song, Du Xu, Lu Zhou, Jianhui Lin:
Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring. IEEE Trans Autom. Sci. Eng. 21(3): 3639-3651 (2024) - 2023
- [j15]Guiting Tang, Cai Yi, Lei Liu, Zhan Xing, Qiuyang Zhou, Jianhui Lin:
Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions. Appl. Soft Comput. 148: 110870 (2023) - [j14]Guiting Tang, Cai Yi, Lei Liu, Xingguo Yang, Du Xu, Qiuyang Zhou, Jianhui Lin:
A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis. Eng. Appl. Artif. Intell. 123(Part C): 106395 (2023) - [j13]Guiting Tang, Lei Liu, Yirong Liu, Cai Yi, Yongxu Hu, Du Xu, Qiuyang Zhou, Jianhui Lin:
Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection. Eng. Appl. Artif. Intell. 126: 107051 (2023) - [j12]Qiuyang Zhou, Cai Yi, Lei Yan, Chenguang Huang, Jianhui Lin:
A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring. IEEE Trans Autom. Sci. Eng. 20(2): 1092-1107 (2023) - [j11]Cai Yi, Hao Wang, Qiuyang Zhou, Qiwei Hu, Pengcheng Zhou, Jianhui Lin:
An Adaptive Harmonic Product Spectrum for Rotating Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j10]Qiuyang Zhou, Cai Yi, Lei Yan, Xinwu Song, Du Xu, Chenguang Huang, Lu Zhou, Jianhui Lin:
Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box. IEEE Trans. Veh. Technol. 72(10): 12744-12756 (2023) - 2022
- [j9]Liu He, Cai Yi, Qiuyang Zhou, Jianhui Lin:
Fast Convolutional Sparse Dictionary Learning Based on LocOMP and Its Application to Bearing Fault Detection. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j8]Liu He, Dong Wang, Cai Yi, Qiuyang Zhou, Jianhui Lin:
Extracting cyclo-stationarity of repetitive transients from envelope spectrum based on prior-unknown blind deconvolution technique. Signal Process. 183: 107997 (2021) - [j7]Qiuyang Zhou, Yuhui Zhang, Jiayin Tang, Jianhui Lin, Liu He, Cai Yi:
Blind Deconvolution Technique Based on Improved Correlated Generalized Lp/Lq Norm for Extracting Repetitive Transient Feature. IEEE Trans. Instrum. Meas. 70: 1-21 (2021) - [j6]Ning Hong, Lishuai Li, Weiran Yao, Yang Zhao, Cai Yi, Jianhui Lin, Kwok Leung Tsui:
Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data". IEEE Trans. Intell. Transp. Syst. 22(9): 6088 (2021) - 2020
- [j5]Ning Hong, Lishuai Li, Weiran Yao, Yang Zhao, Cai Yi, Jianhui Lin, Kwok Leung Tsui:
High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data. IEEE Trans. Intell. Transp. Syst. 21(7): 2943-2955 (2020)
2010 – 2019
- 2018
- [j4]Dong Wang, Cai Yi, Kwok Leung Tsui:
Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation. J. Intell. Fuzzy Syst. 34(6): 3429-3441 (2018) - [j3]Cai Yi, Dong Wang, Wei Fan, Kwok-Leung Tsui, Jianhui Lin:
EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings. Sensors 18(3): 704 (2018) - [c4]Peiwen Xu, Weiran Yao, Yang Zhao, Cai Yi, Lishuai Li, Jianhui Lin, Kwok Leung Tsui:
Condition monitoring of wheel wear for high-speed trains: A data-driven approach. ICPHM 2018: 1-8 - [c3]Cai Yi, Lu Liu, Jianhui Lin, Kwok-Leung Tsui:
Quantizing the Health State of Railway Axle Bearing via Signal-to-noise ratio defined by EEMD and SVD. ICPHM 2018: 1-7 - 2017
- [j2]Dawei Jin, Si Shi, Cai Yi, Bing Yang:
基于层次自动机模型的复杂事件层次实现研究 (Study of Complex Event Hierarchies Realization Based on Hierarchical Automata Model). 计算机科学 44(7): 151-160 (2017) - 2015
- [j1]Cai Yi, Jianhui Lin, Weihua Zhang, Jianming Ding:
Faults Diagnostics of Railway Axle Bearings Based on IMF's Confidence Index Algorithm for Ensemble EMD. Sensors 15(5): 10991-11011 (2015)
1990 – 1999
- 1998
- [c2]Juli Yamashita, Cai Yi, Robert W. Lindeman, Yukio Fukui, Osamu Morikawa:
Plane-shape perception using point-contact type force feedback device. SIGGRAPH Abstracts and Applications 1998: 274 - 1997
- [c1]Juli Yamashita, Cai Yi, Yukio Fukui:
Feature based haptic rendering: architecture, protocol, and application. SIGGRAPH Visual Proceedings 1997: 182
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