Abstract List
My Submissions
359
High Impedance Fault Diagnosis Method Based on Conditional Wasserstein Generative Adversarial NetworkFinal Paper

Liu Wen-li, Guo Mou-fa*, Gao Jian-Hong

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

349
A Predictive Method for the Frequency Nadir Based on Convolutional Neural NetworkFinal Paper

Lin Jintian, Longyu Chen, Yichao Zhang, Qingyue Chen, Xiaoru Wang*

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

281
Research on High-resolution Imaging System with the Big Field of View Based on the Artificial Compound Eye for Overhead Contact Line System Intelligent DetectionDraft Rejected

Xin Huang*, Xiaobing Lu

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

274
Fault diagnosis method of motor bearing based on deep transfer learningFinal Paper

Anhao Li*

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

256
Motor Bearing Fault Diagnosis Method Based on Wavelet Decomposition and SSA-BPDraft Rejected

Zhe Cheng*

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

238
Hierarchical Diagnosis of Analog Circuit Fault Based on Neural Network GroupFinal Paper

Xin Zhou, Wenhai Liang*, Xiaolian Zhang, Yintao Ou

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

130
Data-Driven IGBT Open-Circuit Fault Diagnosis Method for the Modular Multilevel ConverterDraft Rejected

Yang An*, Xiangdong Sun, Hui Li, Mengnan Zhang

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

126
A Non-intrusive Method Based on Deep Learning for Abnormal Electricity Consumption Detection of Electric BicyclesFinal Paper

Xuecen Zhang*, Junnan Li, Wei Li, Yi Tang, Xinming He, Wei Tai

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

96
Few-Shot Transfer Learning with Attention Mechanism for High-Voltage Circuit Breaker fault diagnosisFinal Paper

Yanxin Wang*, Jing YAN, Xinyu Ye, Qianzhen Jing, Jianhua Wang, Yingsan Geng

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

62
Fault Diagnosis Method of Disconnector Based on Operating torque in Closing ProcessFinal Paper

Qi Wang*, Kaipu Zhang, Sheng Lin

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

48
Diagnosis Method of Metal Surface Temperature Rise by Visible Images and Machine LearningDraft Rejected

Yuan Zhe*, Mengting Han, Qizheng Ye, Xiaofei Nie

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

26
A Customer Baseline Measurement Method for Residential User of Demand ResponseDraft Accepted

Feixiang gong*, Yuting Xu, Songsong Chen, Dezhi Li, Shiming Tian

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

19
An imputation method based on dummy variable and unsupervised learning for electricity consumption data with missing valuesDraft Accepted

Penglong Lian*, Qi Zhao, Yanmin Cui

AI-driven technology > Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

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Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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