Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy. - Haikun Shang; Kwok Lun Lo; Feng Li (Entropy, 2017)

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)

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)

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)

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, 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, 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, 2024)