Search Results - Haikun Shang

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  1. 1

    Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

    Published in Entropy (2025-06-01)
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  2. 2

    A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks by Haikun Shang, Zhidong Liu, Yanlei Wei, Shen Zhang

    Published in Entropy (2024-02-01)
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  3. 3

    Partial Discharge Fault Diagnosis in Power Transformers Based on SGMD Approximate Entropy and Optimized BILSTM by Haikun Shang, Zixuan Zhao, Jiawen Li, Zhiming Wang

    Published in Entropy (2024-06-01)
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  4. 4

    A Novel Feature Extraction Method for Power Transformer Vibration Signal Based on CEEMDAN and Multi-Scale Dispersion Entropy by Haikun Shang, Junyan Xu, Yucai Li, Wei Lin, Jinjuan Wang

    Published in Entropy (2021-10-01)
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  5. 5

    Transformer partial discharge fault diagnosis based on improved adaptive local iterative filtering‐bidirectional long short‐term memory by Haikun Shang, Zixuan Zhao, Ranzhe Zhang, Zhiming Wang, Jiawen Li

    Published in IET Electric Power Applications (2024-10-01)
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  6. 6

    Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost by Haikun Shang, Tao Huang, Zhiming Wang, Jiawen Li, Shen Zhang

    Published in Entropy (2024-08-01)
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  7. 7

    A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy by Haikun Shang, Yucai Li, Junyan Xu, Bing Qi, Jinliang Yin

    Published in Entropy (2020-09-01)
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