An Approach for HVCB Mechanical Fault Diagnosis Based on a Deep Belief Network and a Transfer Learning Strategy-Reference-Cited by-同舟云学术

An Approach for HVCB Mechanical Fault Diagnosis Based on a Deep Belief Network and a Transfer Learning Strategy

Published:2019-01 Issue:1 Volume:14 Page:407-419
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Pan Yi,Mei Fei,Miao Huiyu,Zheng Jianyong,Zhu Kedong,Sha Haoyuan

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s42835-018-00048-y/fulltext.html

Reference30 articles.

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2. Mei F, Mei J, Zheng JY et al (2013) Development and application of distributed multilayer on-line monitoring system for high voltage vacuum circuit breaker. J Electr Eng Technol 8(4):813–823

3. Janssen A, Makareinis D, Solver CE (2014) International surveys on circuit-breaker reliability data for substation and system studies. IEEE Trans Power Deliv 29(2):808–814

4. Forootani A, Afzalian AA, Ghohmshe AN (2016) Model-based fault analysis of a high-voltage circuit breaker operating mechanism. Turk J Electr Eng Comput Sci 25(3):2349–2362

5. Zhu K, Mei F, Zheng J (2017) Adaptive fault diagnosis of HVCBs based on P-SVDD and P-KFCM. Neurocomputing 240:127–136

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