Results 231 to 240 of about 2,243 (260)

Research on transformer fault diagnosis models with feature extraction

Review of Scientific Instruments
To address the challenge of low accuracy in traditional transformer fault diagnosis algorithms, this paper introduces a novel approach that utilizes the Artificial Hummingbird Algorithm (AHA) to optimize both Kernel Principal Component Analysis (KPCA) and Extreme Learning Machine (ELM). We propose the use of various gas concentration ratio features and
Yongcan Zhu, Zhenyan Guo, Xiaoxuan Zhan, Xinbo Huang   +3 more
openaire   +2 more sources

Hierarchical Federated Learning for Power Transformer Fault Diagnosis

IEEE Transactions on Instrumentation and Measurement, 2022
Jun Lin 0004, Jin Ma 0001, Jianguo Zhu 0001   +2 more
openaire   +1 more source

GRU‐Dual Transformer–BiLSTM Fusion for Transformer Fault Diagnosis

International Journal of Circuit Theory and Applications
ABSTRACT To address the shortcomings of conventional dissolved gas in oil analysis technology in transformer fault diagnosis, the GRU‐dual transformer and BiLSTM fusion method for transformer fault diagnosis is proposed. Firstly, the time series waveforms are independently transformed into two different image representations by using ...
Xin Zhang, Yongxin Zhang, Qi Yang
openaire   +1 more source

Enhancing Fault Diagnosis in Transformers by Combining HHO and RF

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering, 2023
Jianjie Meng, Xianwen Zeng
openaire   +1 more source

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

Mechanical Systems and Signal Processing, 2022
Yifei Ding, Minping Jia, Yudong Cao
exaly  

A Time Series Transformer based method for the rotating machinery fault diagnosis

Neurocomputing, 2022
Lei Hou, Yuhong Jin
exaly  

Generalized transformer in fault diagnosis of Tennessee Eastman process

Neural Computing and Applications, 2022
Lei Zhang, Zhihuan Song, Qinghua Zhang, Zhiping Peng   +3 more
openaire   +1 more source

Diagnosisformer: An efficient rolling bearing fault diagnosis method based on improved Transformer

Engineering Applications of Artificial Intelligence, 2023
Yandong Hou, Zhengquan Chen
exaly  

Multi-modal information analysis for fault diagnosis with time-series data from power transformer

International Journal of Electrical Power and Energy Systems, 2023
Zhikai Xing
exaly  

Fusion of Transformer and Convolution for Complex Fault Diagnosis

2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)
Junyan Wang, Yue Wang, Mingbao Yang
openaire   +1 more source