Prediction Method of Remaining Service Life of Aviation Transformer Rectifier Based on Improved LSTM Algorithm-Reference-Cited by-同舟云学术

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Prediction Method of Remaining Service Life of Aviation Transformer Rectifier Based on Improved LSTM Algorithm

Published:2022-05-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Conference on Electronics Technology (ICET)
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Author:

Liu Yang¹,Gao Zehai¹,Chu Molin¹,Yang Guoquan¹,Li Siyuan²,Ma Cunbao³

Affiliation:

1. Xi’an University of Technology,State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi’an,China,710048

2. AVIC SHANXI Aero Electric Co., Ltd,Xi’an,China,710065

3. Northwestern Polytechnical University,School of Aeronautics,Xi’an,China,710072

Funder

Natural Science Foundation of Shaanxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823394/9823964/09825180.pdf?arnumber=9825180

Reference17 articles.

1. AC conductivity analysis as a measure of low k dielectric capacitor reliability degradation due to moisture ingress

2. Thermal and mechanical issues of high-power laser diode degradation

3. CL as a tool for device characterisation: the case of laser diode degradation

4. A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

5. Are components still the major problem: a review of electronic system and device field failure returns

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