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Development of a prediction model for estimating tractor engine torque based on soft computing and low cost sensors
Torque estimation needs intensive efforts and costly sensors. In this research, a model was proposed based on soft computing to estimate the ITM285 tractor engine torque using some low cost sensors. To this end, two models including the radial basis...
Condition monitoring of engine load using a new model based on adaptive neuro fuzzy inference system (ANFIS)
model was proposed based on soft computing technique to estimate ITM285 tractor engine torque using some low cost sensors. Adaptive neuro fuzzy inference system (ANFIS) was used for engine torque estimation, based on the data obtained from some...
Development a new model based on artificial neural network to estimate torque of a conventional CI engine
Torque estimation needs intensive efforts and costly sensors. In this research, a model was proposed to estimate ITM285 tractor engine torque using some low cost sensors. Radial basis function (RBF) neural network was used for torque estimation...