Jianguo Miao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Transfer Learning

Fault Diagnosis

Unlabeled Samples

Top Venues

Int. J. Prod. Res.

IEEE Trans. Reliab.

Publications

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 (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2023)
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) (2023)
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 (2023)
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)
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 (2022)
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) (2021)
Jianguo Miao, Qiang Miao
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images. ICPHM (2021)
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) (2020)
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 (2020)
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 (2019)