Conference
SELECTION OF AN ALGORITHM FOR THE PREDICTION OF STOPPAGES AND/OR FAILURE OF EXCAVATION UNITS USING SUPERVISED MACHINE LEARNING
| العنوان: | SELECTION OF AN ALGORITHM FOR THE PREDICTION OF STOPPAGES AND/OR FAILURE OF EXCAVATION UNITS USING SUPERVISED MACHINE LEARNING |
|---|---|
| المؤلفون: | Misita, Mirjana, Spasojević Brkić, Vesna, Mihajlović, Ivan, Brkić, Aleksandar, Perišić, Martina, Papić, Neda, Janev, Nemanja |
| المصدر: | IMCSM Proceedings - International May Conference on Strategic Management – IMCSM24, May 31, 2024, Bor |
| بيانات النشر: | Technical Faculty in Bor |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | excavator, stoppage, failure, machine learning |
| الوصف: | The paper presents research into the possibility of applying machine learning algorithms in the prediction of stoppages and/or failure of excavator units. Regression trees, Random Forest and Support Vector Machine (SVM) algorithms were tested with different hyperparameter variations on the collected set of data on the causes and downtime of stoppages of the observed excavator units. The result indicates that the trained SVM algorithm with sufficient accuracy (MSE 0.106) can predict the stoppages of the observed excavator units. Further research is aimed at expanding the database and further improving the possibility of predicting the level of danger for various causes of stoppages and/or failure of the observed excavator units. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | Support Systems for Smart, Ergonomic and Sustainable Mining Machinery Workplaces – SmartMiner, #GRANT No. 5151 supported by the Science Fund of the Republic of Serbia; info:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS//; https://machinery.mas.bg.ac.rs/handle/123456789/7810; http://machinery.mas.bg.ac.rs/bitstream/id/19668/bitstream_19668.pdf |
| DOI: | 10.5937/IMCSM24008M |
| الاتاحة: | https://machinery.mas.bg.ac.rs/handle/123456789/7810 https://doi.org/10.5937/IMCSM24008M http://machinery.mas.bg.ac.rs/bitstream/id/19668/bitstream_19668.pdf |
| Rights: | openAccess ; https://creativecommons.org/licenses/by/4.0/ ; BY |
| رقم الانضمام: | edsbas.A40892D5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5937/IMCSM24008M |
|---|