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Power Predicting for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learning

Advances in Science and Technology Research Journal · Ocak 2024

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YÖKSİS Kayıtları
Power Predicting for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learning
Advances in Science and Technology Research Journal · 2024 Academic Resource Index
DOÇENT OSMAN ÖZBEK →
Power Predicting for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learning
Advances in Science and Technology Research Journal · 2024 ESCI
ÖĞRETİM GÖREVLİSİ HASAN KIRILMAZ →

Makale Bilgileri

DergiAdvances in Science and Technology Research Journal
Yayın TarihiOcak 2024
Cilt / Sayfa18 · 1-9
DOI10.12913/22998624/188666
Scopus ID2-s2.0-85201559108
Erişim🔓 Açık Erişim
Özet The relationship between the power consumed in the engine and the power take-off (P.T.O.) shaft of a maize silage harvester is critical to understanding the efficiency and performance of the harvester. The power consumed in the engine directly affects the power available for use on the P.T.O. shaft, which is the power source for the suspended silage harvesters. The research aimed to predict the power consumption of the P.T.O. shaft based on the power consumption of the tractor engine at different operating parameters, which are two applications of the P.T.O. shaft (540 and 540E rpm) and two forward speeds (1.8 and 2.5 km/h) using machine learning algorithms. The best results in terms of engine power consumption were achieved in the 540E P.T.O. application, and the forward speed was 1.8 km/h. The results also gave a correlation between the power consumed by the engine and the P.T.O shaft of 87%. Regarding prediction algorithms, the Tree algorithm gave the highest prediction accuracy of 98.8%, while the KNN, SVM, and ANN algorithms gave an accuracy of 98.1, 60, and 60%, respectively.

Yazarlar (4)

1
Mustafa Ahmed Jalal Al-Sammarraie
2
Łukasz Gierz
3
Osman Özbek
ORCID: 0000-0003-0034-9387
4
Hasan Kırılmaz

Anahtar Kelimeler

forward speeds machine learning techniques maize silage harvester power take-off shaft

Kurumlar

Politechnika Poznanska
Poznan Poland
Selçuk Üniversitesi
Selçuklu Turkey
University of Baghdad
Baghdad Iraq

Sistemimizdeki Yazarlar

OÖ
OSMAN ÖZBEK
DOÇENT

Hızlı Erişim

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