High Precision IGBT Health Evaluation Method: Extreme Learning Machine Optimized by Improved Krill Herd Algorithm-Reference-Cited by-同舟云学术

High Precision IGBT Health Evaluation Method: Extreme Learning Machine Optimized by Improved Krill Herd Algorithm

Published:2023-03 Issue:1 Volume:23 Page:37-50
ISSN:1530-4388
Container-title:IEEE Transactions on Device and Materials Reliability
language:
Short-container-title:IEEE Trans. Device Mater. Relib.

Author:

Liu Jiaqi¹^ORCID,Li Lingling¹^ORCID,Chen Guolong²,Liu Yuwei¹

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment and the Key Laboratory of Electromagnetic Field and Electrical Aparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, China

2. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/7298/10063987/09979783.pdf?arnumber=9979783

Reference50 articles.

1. Open-Circuit Fault Identification Method for Interleaved Converters Based on Time-Domain Analysis of the State Observer Residual

2. Clustering Empirical Failure Rate Curves for Reliability Prediction Purposes in the Case of Consumer Electronic Products

3. Optimal scale Gaussian process regression model in Insulated Gate Bipolar Transistor remaining life prediction

4. Auxiliary Particle Filtering-Based Estimation of Remaining Useful Life of IGBT

5. Study and Handling Methods of Power IGBT Module Failures in Power Electronic Converter Systems

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