Jianguo Miao

According to our database, Jianguo Miao authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels.

Congying Deng, Zihao Deng, Jianguo Miao

Reliab. Eng. Syst. Saf., February, 2024

Improved milling stability analysis for chatter-free machining parameters planning using a multi-fidelity surrogate model and transfer learning with limited experimental data.

Congying Deng, Jielin Tang, Sheng Lu, Ying Ma, Lijun Lin, Jianguo Miao

Int. J. Prod. Res., February, 2024

SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization.

Jianguo Miao, Xuanxuan Liu, Li Guo, Long Chen

Knowl. Based Syst., 2024

Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates.

Jianguo Miao, Zihao Deng, Congying Deng, Chong Chen

Eng. Appl. Artif. Intell., 2024

Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data.

Congying Deng, Yi Dong, Jianguo Miao, Feng Tan

Comput. Ind. Eng., 2024

2023

Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning.

Congying Deng, Jielin Tang, Jianguo Miao, Yang Zhao, Xiang Chen, Sheng Lu

J. Intell. Manuf., June, 2023

Interactive channel attention for rotating component fault detection with strong noise and limited data.

Jianguo Miao, Congying Deng, Heng Zhang, Qiang Miao

Appl. Soft Comput., May, 2023

Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network.

Congying Deng, Zihao Deng, Sheng Lu, Mingge He, Jianguo Miao, Ying Peng

Sensors, March, 2023

Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate.

Zihao Deng, Jianguo Miao, Man Dong

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data.

Jianguo Miao, Jianyu Wang, Dingcheng Zhang, Qiang Miao

IEEE Trans. Instrum. Meas., 2022

2021

An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions.

Jianguo Miao, Jianyu Wang, Qiang Miao

IEEE Trans. Reliab., 2021

A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images.

Jianguo Miao, Qiang Miao

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020

Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method.

Congying Deng, Jianguo Miao, Ying Ma, Bo Wei, Yi Feng

Int. J. Prod. Res., 2020

Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation.

Jianyu Wang, Jianguo Miao, Jinglin Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Miao

Neurocomputing, 2020

2019

Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error.

Congying Deng, Yi Feng, Jianguo Miao, Ying Ma, Bo Wei

IEEE Access, 2019