Neural Networks in the Diagnostics Process of Low-Power Solar Plant Devices
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Marek Stawowy & Adam Rosiński & Jacek Paś & Tomasz Klimczak, 2021. "Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices," Energies, MDPI, vol. 14(2), pages 1-16, January.
- WenBo Xiao & Gina Nazario & HuaMing Wu & HuaMing Zhang & Feng Cheng, 2017. "A neural network based computational model to predict the output power of different types of photovoltaic cells," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-8, September.
- Stanisław Duer, 2020. "Assessment of the Operation Process of Wind Power Plant’s Equipment with the Use of an Artificial Neural Network," Energies, MDPI, vol. 13(10), pages 1-17, May.
- Toshio Nakagawa, 2005. "Maintenance Theory of Reliability," Springer Series in Reliability Engineering, Springer, number 978-1-84628-221-8, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Zheng Xu, 2022. "Three Technical Challenges Faced by Power Systems in Transition," Energies, MDPI, vol. 15(12), pages 1-21, June.
- Marcin Kaminski & Tomasz Tarczewski, 2023. "Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction," Energies, MDPI, vol. 16(11), pages 1-25, May.
- Jacek Paś, 2023. "Issues Related to Power Supply Reliability in Integrated Electronic Security Systems Operated in Buildings and Vast Areas," Energies, MDPI, vol. 16(8), pages 1-22, April.
- Dorian Skrobek & Jaroslaw Krzywanski & Marcin Sosnowski & Ghulam Moeen Uddin & Waqar Muhammad Ashraf & Karolina Grabowska & Anna Zylka & Anna Kulakowska & Wojciech Nowak, 2023. "Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives," Energies, MDPI, vol. 16(8), pages 1-12, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Arkadiusz Ostrowski & Marek Stawowy & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time to Failures," Energies, MDPI, vol. 16(6), pages 1-13, March.
- Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Dariusz Bernatowicz & Arkadiusz Ostrowski & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time between Failures (MTBF)," Energies, MDPI, vol. 16(4), pages 1-16, February.
- Stanisław Duer & Marek Woźniak & Arkadiusz Ostrowski & Jacek Paś & Radosław Duer & Konrad Zajkowski & Dariusz Bernatowicz, 2022. "Assessment of the Reliability of Wind Farm Device on the Basis of Modeling Its Operation Process," Energies, MDPI, vol. 16(1), pages 1-16, December.
- Krzysztof Jakubowski & Jacek Paś & Stanisław Duer & Jarosław Bugaj, 2021. "Operational Analysis of Fire Alarm Systems with a Focused, Dispersed and Mixed Structure in Critical Infrastructure Buildings," Energies, MDPI, vol. 14(23), pages 1-24, November.
- Stanisław Duer & Konrad Zajkowski & Marta Harničárová & Henryk Charun & Dariusz Bernatowicz, 2021. "Examination of Multivalent Diagnoses Developed by a Diagnostic Program with an Artificial Neural Network for Devices in the Electric Hybrid Power Supply System “House on Water”," Energies, MDPI, vol. 14(8), pages 1-19, April.
- Stanisław Duer & Jacek Paś & Aneta Hapka & Radosław Duer & Arkadiusz Ostrowski & Marek Woźniak, 2022. "Assessment of the Reliability of Wind Farm Devices in the Operation Process," Energies, MDPI, vol. 15(11), pages 1-22, May.
- Stanislaw Duer & Jacek Paś & Marek Stawowy & Aneta Hapka & Radosław Duer & Arkadiusz Ostrowski & Marek Woźniak, 2022. "Reliability Testing of Wind Power Plant Devices with the Use of an Intelligent Diagnostic System," Energies, MDPI, vol. 15(10), pages 1-19, May.
- Oleg Gubarevych & Stanisław Duer & Inna Melkonova & Marek Woźniak & Jacek Paś & Marek Stawowy & Krzysztof Rokosz & Konrad Zajkowski & Dariusz Bernatowicz, 2023. "Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors," Energies, MDPI, vol. 16(19), pages 1-21, September.
- Hashemi, M. & Asadi, M. & Zarezadeh, S., 2020. "Optimal maintenance policies for coherent systems with multi-type components," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
- Marek Stawowy & Adam Rosiński & Mirosław Siergiejczyk & Krzysztof Perlicki, 2021. "Quality and Reliability-Exploitation Modeling of Power Supply Systems," Energies, MDPI, vol. 14(9), pages 1-16, May.
- Chin-Chih Chang, 2023. "Optimal maintenance policy for a k-out-of-n system with replacement first and last," Annals of Operations Research, Springer, vol. 323(1), pages 31-43, April.
- Stanisław Duer & Krzysztof Rokosz & Dariusz Bernatowicz & Arkadiusz Ostrowski & Marek Woźniak & Konrad Zajkowski & Atif Iqbal, 2022. "Organization and Reliability Testing of a Wind Farm Device in Its Operational Process," Energies, MDPI, vol. 15(17), pages 1-16, August.
- Finkelstein, Maxim & Cha, Ji Hwan & Langston, Amy, 2023. "Improving classical optimal age-replacement policies for degrading items," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
- Ali, Sajid & Pievatolo, Antonio, 2018. "Time and magnitude monitoring based on the renewal reward process," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 97-107.
- Torrado, Nuria, 2022. "Optimal component-type allocation and replacement time policies for parallel systems having multi-types dependent components," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
- Ji Hwan Cha & Maxim Finkelstein, 2020. "On optimal life extension for degrading systems," Journal of Risk and Reliability, , vol. 234(3), pages 487-495, June.
- Safaei, Fatemeh & Taghipour, Sharareh, 2024. "Integrated degradation-based burn-in and maintenance model for heterogeneous and highly reliable items," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Zheng, Junjun & Okamura, Hiroyuki & Dohi, Tadashi, 2021. "Age replacement with Markovian opportunity process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
- Zhao, Xufeng & Qian, Cunhua & Nakagawa, Toshio, 2013. "Optimal policies for cumulative damage models with maintenance last and first," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 50-59.
- Marek Stawowy & Adam Rosiński & Jacek Paś & Stanisław Duer & Marta Harničárová & Krzysztof Perlicki, 2023. "The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets," Energies, MDPI, vol. 16(12), pages 1-18, June.
More about this item
Keywords
neural networks; intelligent systems; servicing process; diagnostic process; expert system; knowledge base; low-power solar plant devices; diagnostic information;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2719-:d:551380. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.