Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study
This paper presents the implementation of a reprogrammable PLC system as a monitoring control tool in the actual operating environment of a compressor station. A neural network is used to recognize the temperature pattern and to predict the temperature on the compressor station. A cooling system is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/379420 |
| _version_ | 1797206931597688832 |
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| author | Ivan Đuračić* Marinko Stojkov Tomislav Šarić Tomislav Alinjak Krešimir Crnogorac |
| author_facet | Ivan Đuračić* Marinko Stojkov Tomislav Šarić Tomislav Alinjak Krešimir Crnogorac |
| author_sort | Ivan Đuračić* |
| collection | DOAJ |
| description | This paper presents the implementation of a reprogrammable PLC system as a monitoring control tool in the actual operating environment of a compressor station. A neural network is used to recognize the temperature pattern and to predict the temperature on the compressor station. A cooling system is installed for the optimization purpose of the observed system. The research was conducted in three stages in real working conditions within the production hall. The difference in temperatures with and without the added cooling system is shown. There are gaps in this research that represent opportunities for future development, therefore recommendations for further research are given. |
| first_indexed | 2024-04-24T09:14:51Z |
| format | Article |
| id | doaj.art-6da8ca74f6b14b70aa46aca9b905b666 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:14:51Z |
| publishDate | 2021-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-6da8ca74f6b14b70aa46aca9b905b6662024-04-15T17:07:16ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-012841197120210.17559/TV-20200926113750Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case StudyIvan Đuračić*0Marinko Stojkov1Tomislav Šarić2Tomislav Alinjak3Krešimir Crnogorac4University of Slavonski Brod, Mechanical Engineering Faculty, Trg I. B. Mazuranic 2, 35000 SlavonskiBrod, CroatiaUniversity of Slavonski Brod, Mechanical Engineering Faculty, Trg I. B. Mazuranic 2, 35000 SlavonskiBrod, CroatiaUniversity of Slavonski Brod, Mechanical Engineering Faculty, Trg I. B. Mazuranic 2, 35000 SlavonskiBrod, CroatiaHEP-ODS d.o.o. Zagreb, Elektra Slavonski Brod, P. Krešimira IV 11, 35000 SlavonskiBrod, CroatiaCONSTRUO-MAT d.o.o., Trg Ignjata Alojza Brlića 4, Slavonski Brod, CroatiaThis paper presents the implementation of a reprogrammable PLC system as a monitoring control tool in the actual operating environment of a compressor station. A neural network is used to recognize the temperature pattern and to predict the temperature on the compressor station. A cooling system is installed for the optimization purpose of the observed system. The research was conducted in three stages in real working conditions within the production hall. The difference in temperatures with and without the added cooling system is shown. There are gaps in this research that represent opportunities for future development, therefore recommendations for further research are given.https://hrcak.srce.hr/file/379420compressorfanIoTneural networkoptimizationpreventive maintenance |
| spellingShingle | Ivan Đuračić* Marinko Stojkov Tomislav Šarić Tomislav Alinjak Krešimir Crnogorac Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study Tehnički Vjesnik compressor fan IoT neural network optimization preventive maintenance |
| title | Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study |
| title_full | Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study |
| title_fullStr | Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study |
| title_full_unstemmed | Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study |
| title_short | Applying Artificial Neural Network to Optimize the Performance of the Compressor Station: A Case Study |
| title_sort | applying artificial neural network to optimize the performance of the compressor station a case study |
| topic | compressor fan IoT neural network optimization preventive maintenance |
| url | https://hrcak.srce.hr/file/379420 |
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