Jianguo Miao

Orcid: 0000-0003-1618-0301

According to our database1, Jianguo Miao authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels.
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.
Int. J. Prod. Res., February, 2024

2023
Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning.
J. Intell. Manuf., June, 2023

Interactive channel attention for rotating component fault detection with strong noise and limited data.
Appl. Soft Comput., May, 2023

Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network.
Sensors, March, 2023

Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate.
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.
IEEE Trans. Instrum. Meas., 2022

2021
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions.
IEEE Trans. Reliab., 2021

A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images.
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.
Int. J. Prod. Res., 2020

Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation.
Neurocomputing, 2020

2019
Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error.
IEEE Access, 2019


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