Jianguo Miao

19 papers C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-conditional feature constraints based tri-component decoupling domain adaptation network for cross-machine fault diagnosis.
Eng. Appl. Artif. Intell.
Jianguo Miao, Hongyang Tian, Sheng Lu, Congying Deng, Zhaofei Li
2025 J jnl
Co-Kriging model-based multi-fidelity regression for refining milling stability predictions of variable tool overhang length using limited experimental data.
Int. J. Prod. Res.
Congying Deng, Huiling Ding, Jianguo Miao, Feng Tan
2025 J jnl
Domain adaptation method based on pseudo-label dual-constraint targeted decoupling network for cross-machine fault diagnosis.
Reliab. Eng. Syst. Saf.
Congying Deng, Hongyang Tian, Jianguo Miao, Zihao Deng
2025 J jnl
Dynamic Self-Learning Neural Network and Its Application for Rotating Equipment RUL Prediction.
IEEE Internet Things J.
Sheng Xiang, Xinyou Zheng, Jianguo Miao, Yi Qin, Penghua Li, Jie Hou, Mamadsho Ilolov
2024 J jnl
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates.
Eng. Appl. Artif. Intell.
Jianguo Miao, Zihao Deng, Congying Deng, Chong Chen
2024 J jnl
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.
Congying Deng, Jielin Tang, Sheng Lu, Ying Ma, Lijun Lin, Jianguo Miao
2024 J jnl
Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data.
Comput. Ind. Eng.
Congying Deng, Yi Dong, Jianguo Miao, Feng Tan
2024 J jnl
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization.
Knowl. Based Syst.
Jianguo Miao, Xuanxuan Liu, Li Guo, Long Chen
2024 J jnl
Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels.
Reliab. Eng. Syst. Saf.
Congying Deng, Zihao Deng, Jianguo Miao
2023 C conf
Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate.
SAFEPROCESS
Zihao Deng, Jianguo Miao, Man Dong
2023 J jnl
Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning.
J. Intell. Manuf.
Congying Deng, Jielin Tang, Jianguo Miao, Yang Zhao, Xiang Chen, Sheng Lu
2023 J jnl
Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network.
Sensors
Congying Deng, Zihao Deng, Sheng Lu, Mingge He, Jianguo Miao, Ying Peng
2023 J jnl
Interactive channel attention for rotating component fault detection with strong noise and limited data.
Appl. Soft Comput.
Jianguo Miao, Congying Deng, Heng Zhang, Qiang Miao
2022 J jnl
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data.
IEEE Trans. Instrum. Meas.
Jianguo Miao, Jianyu Wang, Dingcheng Zhang, Qiang Miao
2021 — conf
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images.
ICPHM
Jianguo Miao, Qiang Miao
2021 J jnl
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions.
IEEE Trans. Reliab.
Jianguo Miao, Jianyu Wang, Qiang Miao
2020 J jnl
Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation.
Neurocomputing
Jianyu Wang, Jianguo Miao, Jinglin Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Miao
2020 J jnl
Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method.
Int. J. Prod. Res.
Congying Deng, Jianguo Miao, Ying Ma, Bo Wei, Yi Feng
2019 J jnl
Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error.
IEEE Access
Congying Deng, Yi Feng, Jianguo Miao, Ying Ma, Bo Wei