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2020 – today
- 2025
[j14]Congying Deng
, Hongyang Tian, Jianguo Miao, Zihao Deng:
Domain adaptation method based on pseudo-label dual-constraint targeted decoupling network for cross-machine fault diagnosis. Reliab. Eng. Syst. Saf. 256: 110786 (2025)- 2024
- [j13]Congying Deng, Yi Dong, Jianguo Miao, Feng Tan:
Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data. Comput. Ind. Eng. 194: 110409 (2024) - [j12]Jianguo Miao, Zihao Deng, Congying Deng, Chong Chen:
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates. Eng. Appl. Artif. Intell. 133: 108499 (2024) - [j11]Congying Deng, Jielin Tang, Sheng Lu, Ying Ma, Lijun Lin, Jianguo Miao:
Improved milling stability analysis for chatter-free machining parameters planning using a multi-fidelity surrogate model and transfer learning with limited experimental data. Int. J. Prod. Res. 62(4): 1126-1143 (2024) - [j10]Jianguo Miao, Xuanxuan Liu, Li Guo, Long Chen:
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization. Knowl. Based Syst. 301: 112343 (2024) - [j9]Congying Deng, Zihao Deng, Jianguo Miao:
Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels. Reliab. Eng. Syst. Saf. 242: 109740 (2024) - 2023
- [j8]Jianguo Miao, Congying Deng, Heng Zhang, Qiang Miao:
Interactive channel attention for rotating component fault detection with strong noise and limited data. Appl. Soft Comput. 138: 110171 (2023) - [j7]Congying Deng, Jielin Tang, Jianguo Miao, Yang Zhao, Xiang Chen, Sheng Lu:
Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning. J. Intell. Manuf. 34(5): 2263-2279 (2023) - [j6]Congying Deng, Zihao Deng, Sheng Lu, Mingge He, Jianguo Miao, Ying Peng:
Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network. Sensors 23(5): 2542 (2023) - [c2]Zihao Deng, Jianguo Miao, Man Dong:
Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate. SAFEPROCESS 2023: 1-6 - 2022
- [j5]Jianguo Miao, Jianyu Wang, Dingcheng Zhang, Qiang Miao:
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2021
- [j4]Jianguo Miao, Jianyu Wang, Qiang Miao:
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions. IEEE Trans. Reliab. 70(4): 1611-1620 (2021) - [c1]Jianguo Miao, Qiang Miao:
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images. ICPHM 2021: 1-5 - 2020
- [j3]Jianyu Wang, Jianguo Miao, Jinglin Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Miao:
Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation. Neurocomputing 417: 224-238 (2020) - [j2]Congying Deng, Jianguo Miao, Ying Ma, Bo Wei, Yi Feng:
Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method. Int. J. Prod. Res. 58(9): 2732-2750 (2020)
2010 – 2019
- 2019
- [j1]Congying Deng, Yi Feng, Jianguo Miao, Ying Ma, Bo Wei:
Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error. IEEE Access 7: 183823-183837 (2019)
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