Haikun Shang

According to our database, Haikun Shang authored at least 7 papers between 2017 and 2024.

Collaborative distances:

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

2024

Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost.

Haikun Shang, Tao Huang, Zhiming Wang, Jiawen Li, Shen Zhang

Entropy, September, 2024

Partial Discharge Fault Diagnosis in Power Transformers Based on SGMD Approximate Entropy and Optimized BILSTM.

Haikun Shang, Zixuan Zhao, Jiawen Li, Zhiming Wang

Entropy, July, 2024

A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks.

Haikun Shang, Zhidong Liu, Yanlei Wei, Shen Zhang

Entropy, March, 2024

2021

A Novel Feature Extraction Method for Power Transformer Vibration Signal Based on CEEMDAN and Multi-Scale Dispersion Entropy.

Haikun Shang, Junyan Xu, Yucai Li, Wei Lin, Jinjuan Wang

Entropy, 2021

2020

A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy.

Haikun Shang, Yucai Li, Junyan Xu, Bing Qi, Jinliang Yin

Entropy, 2020

2019

Partial Discharge Fault Diagnosis Based on Multi-Scale Dispersion Entropy and a Hypersphere Multiclass Support Vector Machine.

Haikun Shang, Feng Li, Yingjie Wu

Entropy, 2019

2017

Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy.

Haikun Shang, Kwok Lun Lo, Feng Li

Entropy, 2017