Enabling Data-Driven Condition Monitoring of Power Electronic Systems With Artificial Intelligence: Concepts, Tools, and Developments

2021 ◽  
Vol 8 (1) ◽  
pp. 18-27
Author(s):  
Shuai Zhao ◽  
Huai Wang
Keyword(s):  
Artificial Intelligence ◽  
Condition Monitoring ◽  
Data Driven ◽  
Electronic Systems ◽  
Power Electronic

scholarly journals A Review of Degradation Behavior and Modeling of Capacitors

2018 ◽  
Author(s):  
Anunay Gupta ◽  
Om Prakash Yadav ◽  
Douglas DeVoto ◽  
Joshua Major
Keyword(s):  
Data Driven ◽  
Future Research ◽  
Electronic Systems ◽  
Power Electronic ◽  
Lifetime Estimation ◽  
Research Directions ◽  
Physics Of Failure ◽  
Degradation Modeling ◽  
Degradation Models ◽  
Future Research Directions

This paper firstly reviews the failure causes, modes and mechanisms of two major types of capacitors used in power electronic systems — metallized film capacitors and electrolytic capacitors. The degradation modeling related to these capacitors is then presented. Both physics-of-failure and data-driven degradation models for reliability and lifetime estimation are discussed. Based on the exhaustive literature review on degradation modeling of capacitors, we provide a critical assessment and future research directions.

Physics Guided Data-Driven Characterization of Anomalies in Power Electronic Systems

2021 ◽  
Author(s):  
Kaustubh Bhatnagar ◽  
Subham Sahoo ◽  
Florin Iov ◽  
Frede Blaabjerg
Keyword(s):  
Data Driven ◽  
Electronic Systems ◽  
Power Electronic

An overview of artificial intelligence applications for power electronics

2020 ◽  
Author(s):  
Shuai Zhao ◽  
Frede Blaabjerg ◽  
Huai Wang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Fuzzy Logic ◽  
Data Structure ◽  
Power Electronics ◽  
Practical Implementation ◽  
Electronic Systems ◽  
Power Electronic ◽  
Implementation Challenges ◽  
The Common

<div>This is a preprint version of the manuscript submitted to IEEE on June 4, 2020.</div><div><br></div><div>This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics.<br></div>

scholarly journals An overview of artificial intelligence applications for power electronics

2020 ◽  
Author(s):  
Shuai Zhao ◽  
Frede Blaabjerg ◽  
Huai Wang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Fuzzy Logic ◽  
Data Structure ◽  
Power Electronics ◽  
Practical Implementation ◽  
Electronic Systems ◽  
Power Electronic ◽  
Implementation Challenges ◽  
The Common

<div>This is a preprint version of the manuscript submitted to IEEE on June 4, 2020.</div><div><br></div><div>This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics.<br></div>

scholarly journals An overview of artificial intelligence applications for power electronics

2020 ◽  
Author(s):  
Shuai Zhao ◽  
Frede Blaabjerg ◽  
Huai Wang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Fuzzy Logic ◽  
Data Structure ◽  
Power Electronics ◽  
Practical Implementation ◽  
Electronic Systems ◽  
Power Electronic ◽  
Implementation Challenges ◽  
The Common

<div>This is a preprint version of the manuscript submitted to IEEE on June 4, 2020.</div><div><br></div><div>This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics.<br></div>

Simulation of Power Electronic Systems

2002 ◽  
Vol 122 (8) ◽  
pp. 775-780
Author(s):  
Yasuaki Kuroe ◽  
Mikihiko Matsui
Keyword(s):  
Electronic Systems ◽  
Power Electronic
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