Results 251 to 260 of about 14,339 (306)

U-AttentionFlow: A Multi-Scale Invertible Attention Network for OLTC Anomaly Detection Using Acoustic Signals. [PDF]

Sensors (Basel)
Kim D, Hwang H, Kim H.
europepmc   +1 more source

Auto-embedding transformer under multi-source information fusion for few-shot fault diagnosis. [PDF]

Sci Rep
Wang B, Zhao S, Zhao Q, Bai Y.
europepmc   +1 more source

P2IFormer: A Multi-Granularity Patch-to-Image Embedding Model for Fault Diagnosis of High-Speed Train Axle-Box Bearings. [PDF]

Sensors (Basel)
Ma W, Zhang C, Chen L, Wang Z, Fan X, Cui Y.   +5 more
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Live-stream infrared perception for lithium-ion battery thermal diagnosis. [PDF]

iScience
Tian L, Dong C, Qi H, Fu G, Jia H.
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Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations. [PDF]

Nat Commun
Yang H, Tian J, Mai W, Wang C, Ran L, Wu T, He S, Wang Z, Shi X, Liang Z, Yu Y, Dong H, Wang C, Shen W, Chung CY.   +14 more
europepmc   +1 more source

Self-attention enhanced GraphSAGE for UAV fault diagnosis using vibration signals. [PDF]

Sci Rep
Ma Y, Sun Y, Chen L, Wang H, Liu B.
europepmc   +1 more source

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Transformer Fault On-line Diagnosis System

2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI), 2019
The normal operation of power transformer plays an important role in the safety and stability of power system. In view of the special environment where mine transformers are exposed to strong radiation and more interference, a fault diagnosis system for transformers with multi-source information fusion is developed in this paper.
Lin Yan, Wei Wang, Ying Zhang
openaire   +1 more source

Deep learning based transformer fault diagnosis method

2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2021
The detection of dissolved gas in oil is an important method for transformer fault diagnosis. By analyzing the type and content of gas in oil, the latent fault in equipment can be found as soon as possible, and the fault can be monitored. Aiming at the problems of low accuracy and scalability of traditional David triangle method and three ratio method,
Zhibin Yin, Yan Zhen, Chao Huo, Jing Chen   +3 more
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Fault Diagnosis in Transformer by using Wavelet Transform Approach

2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 2018
The transformer conditions monitoring plays important role to prevent fault failures, and to enhance the transformer life. The unique signature of transformer is the neutral current. It responds significantly to smallest change in the transformer working condition.
Abhishek Gedam, Amit Paikrao, Pravin Khade   +2 more
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Ontology-based fault diagnosis for power transformers

IEEE PES General Meeting, 2010
Accurate and efficient fault diagnosis is vital to ensure the normal operation for power transformers. In this paper, a new approach to transformer fault diagnosis is introduced based on the idea of exchanging information with explicit, formal and machine accessible descriptions of meaning by using the Semantic Web.
D Wang, W H Tang, Q H Wu
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