Automatic Crack Segmentation and Feature Extraction in Electroluminescence Images of Solar Modules-Reference-Cited by-同舟云学术

Automatic Crack Segmentation and Feature Extraction in Electroluminescence Images of Solar Modules

Author:

Chen Xin¹^ORCID,Karin Todd²^ORCID,Libby Cara³^ORCID,Deceglie Michael⁴^ORCID,Hacke Peter⁴^ORCID,Silverman Timothy J⁴^ORCID,Jain Anubhav¹^ORCID

Affiliation:

1. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

2. Lawrence Berkeley National Laboratory and PV Evolutional Labs, Berkeley, CA, USA

3. Electric Power Research Institute, Palo Alto, CA, USA

4. National Renewable Energy Laboratory, Golden, CO, USA

Funder

Durable Modules Consortium

Energy Materials Network Consortium

U.S. Department of Energy

Office of Energy Efficiency & Renewable Energy

Solar Energy Technologies Office

Lawrence Berkeley National Laboratory

DOE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

Reference54 articles.

1. Review on infrared (IR) and electroluminescence (EL) imaging for photovoltaic field applications;jahn,2018

5. Photovoltaic Devices-Part 13: Electroluminescence of Photovoltaic Modules,2018

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