Developments of AI-Assisted Fault Detection and Failure Mode Diagnosis for Operation and Maintenance of Photovoltaic Power Stations in Taiwan-Reference-Cited by-同舟云学术

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Developments of AI-Assisted Fault Detection and Failure Mode Diagnosis for Operation and Maintenance of Photovoltaic Power Stations in Taiwan

Published:2024-07 Issue:4 Volume:60 Page:5269-5281
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Chang Maoyi¹^ORCID,Chen Kun-Hong¹,Chen Yu-Sheng²^ORCID,Hsu Chung-Chian³^ORCID,Chu Chia-Chi⁴^ORCID

Affiliation:

1. GreenHarvest Company Ltd., Taipei, Taiwan

2. Reforecast Company Ltd., Taipei, Taiwan

3. Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan

4. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Taiwan Power Company, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/28/10604662/10475519.pdf?arnumber=10475519

Reference26 articles.

1. Developments of AI-Assisted Fault Detection and Failure Mode Diagnosis for Operation and Maintenance of Photovoltaic Power Stations in Taiwan

2. Maintenance Activity, Reliability, Availability, and Related Energy Losses in Ten Operating Photovoltaic Systems up to 1.8 MW

3. Operation and Maintenance Decision Support System for Photovoltaic Systems

4. Review of O&M Practices in PV Plants: Failures, Solutions, Remote Control, and Monitoring Tools

5. A Comparative Evaluation of Advanced Fault Detection Approaches for PV Systems

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