Results 251 to 260 of about 14,646 (305)

An intelligent diagnosis method for PMSM radial misalignment based on current signal and Swin-BiGRU multimodal fusion. [PDF]

Sci Rep
Yu H, Guo J, Zhang H.
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A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis. [PDF]

Sci Rep
Chang X, Cai S, Cai W, Mo Y, Wei L.
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A fusion sparse learning algorithm for fault identification of rolling bearings. [PDF]

PLoS One
Liu Y, Liu J, Ma Y, Wang S, Zhang Q.
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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
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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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Gear Fault Diagnosis Based on Wavelet Transform

Advanced Materials Research, 2012
Gearbox operation conditions have a great effect on the equipment of the whole machine directly; therefore, the gear is the main object in the site monitoring and diagnosis. This paper analysis pitting corrosion signals getting from the test-bed. The signals are analyzed and processed in wavelet and Hilbert transform on Matlab. It is shown that wavelet
Gui Ji Tang, Jiao Wu, Zi Rui Wang
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