Recent Advances in the Use of eXplainable Artificial Intelligence Techniques for Wind Turbine Systems Condition Monitoring-Reference-Cited by-同舟云学术

Recent Advances in the Use of eXplainable Artificial Intelligence Techniques for Wind Turbine Systems Condition Monitoring

Published:2023-08-18 Issue:16 Volume:12 Page:3509
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Astolfi Davide¹,De Caro Fabrizio²^ORCID,Vaccaro Alfredo²^ORCID

Affiliation:

1. Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy

2. Department of Engineering, University of Sannio, Piazza Roma 21, 82100 Benevento, Italy

Abstract

There is a good probability that wind turbines will emerge as one of the predominant technologies for electricity production in the upcoming decades [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/16/3509/pdf

Reference14 articles.

1. Data-driven predictive maintenance of wind turbine based on SCADA data;Udo;IEEE Access,2021

2. Turnbull, A., and Carroll, J. (2021). Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms. Energies, 14.

3. SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends;Pandit;Wind Eng.,2023

4. Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future;Chatterjee;Renew. Sustain. Energy Rev.,2021

5. Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond;Li;Knowl. Inf. Syst.,2022

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