Huiming Jiang

Orcid: 0000-0003-1633-0429

According to our database1, Huiming Jiang authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Tensor Denoising Assisted Time-Reassigned Synchrosqueezing Wavelet Transform for Gear Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

Predicting seasonal patterns of energy production: A grey seasonal trend least squares support vector machine.
Expert Syst. Appl., 2023

2022
Formal Language Generation for Fault Diagnosis With Spectral Logic via Adversarial Training.
IEEE Trans. Ind. Informatics, 2022

LW-Net: an interpretable network with smart lifting wavelet kernel for mechanical feature extraction and fault diagnosis.
Neural Comput. Appl., 2022

An Improved Convolutional Neural Network Model by Multiwavelets for Rolling Bearing Fault Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2022

A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2022

2021
Dual-Core Denoised Synchrosqueezing Wavelet Transform for Gear Fault Detection.
IEEE Trans. Instrum. Meas., 2021

MAFNet: Multi-style attention fusion network for salient object detection.
Neurocomputing, 2021

SGWnet: An Interpretable Convolutional Neural Network for Mechanical Fault Intelligent Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2021

A New Health Indicator Construction Approach and Its Application in Remaining Useful Life Prediction of Bearings.
Proceedings of the Neural Computing for Advanced Applications, 2021

2020
A Robust Performance Degradation Modeling Approach Based on Student's t-HMM and Nuisance Attribute Projection.
IEEE Access, 2020

2019
Dual-Mode Noise-Reconstructed EMD for Weak Feature Extraction and Fault Diagnosis of Rotating Machinery.
IEEE Access, 2019


  Loading...