Faults, Failures, Reliability, and Predictive Maintenance of Grid-Connected Solar Systems : A Comprehensive Review
author
Kull, Karl
Asad, Bilal
Khan, Muhammad Amir
Naseer, Muhammad Usman
Kallaste, Ants
Vaimann, Toomas
statement of authorship
Karl Kull, Bilal Asad, Muhammad Amir Khan, Muhammad Usman Naseer, Ants Kallaste, Toomas Vaimann
source
Applied Sciences
publisher
MDPI
journal volume number month
vol. 15, 21
year of publication
2025
pages
art. 11461
url
https://doi.org/10.3390/app152111461
subject term
tehisintellekt
rikked
seire
fotogalvaanika
asjade internet
taastuvenergia
elektrisüsteemid
töökindlus
keyword
AI-based fault detection
condition monitoring
fault diagnosis
grid integration
grid-connected photovoltaic systems
internet of things (IoT) for renewable energy
machine learning applications in power systems
power system reliability
predictive maintenance
smart monitoring
ISSN
2076-3417
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100829268
https://www.scopus.com/pages/publications/105021458390?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=APPL%20SCI-BASEL&year=2025
https://www.webofscience.com/wos/woscc/full-record/WOS:001612431400001
category (general)
Chemical engineering
Keemiatehnoloogia
Physics and astronomy
Füüsika ja astronoomia
Engineering
Tehnika
Computer science
Arvutiteadus
Materials science
Materjaliteadus
category (sub)
Chemical engineering. Fluid flow and transfer processes
Keemiatehnoloogia. Vedeliku voolu- ja ülekandeprotsessid
Physics and astronomy. Instrumentation
Füüsika ja astronoomia. Instrumentatsioon
Engineering. General engineering
Tehnika. Üldine inseneriteadus
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Materials science. General materials science
Materjaliteadus. Üldine materjaliteadus
Chemical engineering. Process chemistry and technology
Keemiatehnoloogia. Protsessi keemia ja tehnoloogia
quartile
Q2
TalTech department
Elektroenergeetika ja mehhatroonika instituut
Department of Electrical Power Engineering and Mechatronics
language
English
Inglise