Рад у часопису

објављена верзија

енглески

Filip Miletić, Predrag D. Jovančić, Milos Milovančević, Dragan Ignjatović

Adaptive neuro-fuzzy prediction of operation of the bucket wheel drive based on wear of cutting elements

Advances in Engineering Software

Elsevier BV

2020

The capacity of the rotor excavator depends largely on the operation of the subsystem for digging. There is a great contribution to the correct and sharp teeth when the capacity is the highest. In the function of time, the teeth become clogged due to abrasive wear, or changes in their geometric shape. To analyze the bucket wheel drive in depend on wear of the cutting elements in this study adaptive neuro fuzzy inference system (ANFIS) approach was implemented. ANFIS is a type of artificial neural network combined with fuzzy logic inference which is suitable for nonlinear data samples. The main goal of the study was to establish dependence on how the wear of cutting elements affects the operation of the bucket wheel drive. According to the results prediction of the horizontal frequency has the highest accuracy (R2= 0.7612, r = 0.8724, RMSE = 91.4881). Combining specific energy consumption and vibration on the input pair of the shaft would make a major step forward from existing scientific knowledge.

146

146

10.1016/j.advengsoft.2020.102824

0965-9978

Pogon rotornog točka, habanje, rezni elementi, ANFIS

Bucket wheel drive, Wear, Cutting element, ANFIS

https://api.elsevier.com/content/article/PII:S0965997820304592?httpAccept=text/xml

M20

М21а

Затворени приступ

Creative Commons – Attribution-NonComercial 4.0 International

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