Fault Diagnosis of High Speed Iron Traction Transformer for V/V Type Wiring Based on Fast Independent Component Analysis

1
LI Lin
LI Lin
2
Wan Yi
Wan Yi
3
Tu Ming
Tu Ming
4
YAN Wei
YAN Wei
5
Zhao Yang
Zhao Yang
6
Wang Enrong
Wang Enrong
1 Jiangsu Institute of Metrology, Nanjing Normal University

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GJRE Volume 17 Issue F8

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For rail traction transformer operation may have a failure, using the V/V wired traction transformer model, this paper presents a method based on Fast independent component analysis (ICA) algorithm to monitor the traction transformer of this model. And the traction transformer input and output voltage signal data collected, to get I2 and SPE statistics, to achieve high-speed traction transformer operation in real-time monitoring.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

LI Lin. 2018. \u201cFault Diagnosis of High Speed Iron Traction Transformer for V/V Type Wiring Based on Fast Independent Component Analysis\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F8): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 290901
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v1.2

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January 29, 2018

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English

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For rail traction transformer operation may have a failure, using the V/V wired traction transformer model, this paper presents a method based on Fast independent component analysis (ICA) algorithm to monitor the traction transformer of this model. And the traction transformer input and output voltage signal data collected, to get I2 and SPE statistics, to achieve high-speed traction transformer operation in real-time monitoring.

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Fault Diagnosis of High Speed Iron Traction Transformer for V/V Type Wiring Based on Fast Independent Component Analysis

Wan Yi
Wan Yi
Tu Ming
Tu Ming
YAN Wei
YAN Wei
Zhao Yang
Zhao Yang
Wang Enrong
Wang Enrong

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