Abstract List
My Submissions
205
Motion prediction of roadside agents surrounding Autonomous Vehicles on the urban roadsDraft Pending

Kasun Kalhara*

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

203
Inference of the fast ion 1D velocity distribution from collective Thomson scattering spectrum with Knowledge-Based Neural NetworkDraft Pending

Yuting Huang*, Donghui Xia

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

169
Research on Multi-modal feature extraction and covolutional neural network for deterioration identification of GIS equipmentFinal Paper

Lu Lu*, Shan Changwang, Zhou Hualiang, Su Zhantao, Sun Han, Li Xiaomeng, Wang Yifeng

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

155
Research on the Substation Alarm Event Model Based on Natural Language ParsingTechnologyFinal Paper

Xiaomeng Li*, Hualiang Zhou, Zhantao Su, Yifeng Wang, Yuxin Chen, Lu Lu, Jing Wang

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

133
Research on Digital Diagnosis of Switchgear Based on Integration of Virtuality and RealityFinal Paper

Guoqiang Su*, Hejin Liu, Xiangyu Wen, Feng Wang, Yang Liu, Shidong Zhang, Xinbin Zuo

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

103
Circuit Breaker Target Sound Signal Detection Method based on VAD and SVDD AlgorithmsFinal Paper

Yang Zhencheng, Wu Zaijun*

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

44
Short-term Metro Station Power Lighting Load Prediction Based on TimesNetFinal Paper

Dong Zhang, Yanxiang Fan*, Ruitian Wang, Chong Wang, Xin Chen

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

24
FAult Diagnosis for High Speed Railway Traction Network Based on Optimized Relief-F for Multi-layer PerceptronFinal Paper

Qi Wang, Wenbo Zhou, Sheng Lin*, Zhengyou He

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

14
Temperature Prediction of Substation Distribution Cabinet Based on CNN-BiGRU Model with Attention MechanismFinal Paper

Ping Hu*, Junchen Lu, Yuan Cui, Bo Hu, Fan Liang

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

6
Feature identification method for abnormal operations in grid dispatch operations based on association analysisFinal Paper

Weiyuan Ma, Zhihua Wang, Yaqin Yan, Feng Gao, Kaifeng Zhang*, Nanyang Zhu

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

5
Insulator Defect Detection based on Faster R-CNN and YOLOv3 AlgorithmFinal Paper

Ping Hu*, Junchen Lu, Yuan Cui, Bo Hu, Fan Liang

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

3
Transient stability assessment of power systems with graph neural networks considering global featuresDraft Accepted

Shengyuan Yang, Wenli Fan*, Mengxiang Ding, Zijian Wan, Haichuan Yang, Yilin Liu

6.AI-driven technology > (1)、Intelligent Anomaly Detection, Fault Diagnosis and Prognostics

    12 Records 1/1
Important Date

  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)
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