Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes-Reference-Cited by-同舟云学术

Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes

Author:

Ibrahim Mesfin Seid¹²,Fan Jiajie³⁴⁵^ORCID,Yung Winco K. C.¹,Prisacaru Alexandru⁵⁶,Driel Willem⁵⁷,Fan Xuejun⁸,Zhang Guoqi⁵

Affiliation:

1. Department of Industrial and System Engineering The Hong Kong Polytechnic University Hung Hom 00852 Hong Kong

2. College of Engineering Kombolcha Institute of Technology Wollo University Kombolcha 208 Ethiopia

3. Institute of Future Lighting Academy for Engineering and Technology Fudan University Shanghai 200433 China

4. College of Mechanical and Electrical Engineering Hohai University Changzhou 213022 China

5. EEMCS Faculty Delft University of Technology Delft 2628 Netherlands

6. Robert Bosch GmbH Reutlingen 72703 Germany

7. Signify Eindhoven AE 5656 Netherlands

8. Department of Mechanical Engineering Lamar University Beaumont TX 77710 USA

Funder

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Publisher

Wiley

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

Reference230 articles.

2. Royal Swedish Academy of Sciences The Nobel Prize in Physics https://www.nobelprize.org/prizes/physics/2014/press-release/(accessed: May 2020).

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