چکیده مقاله
Artificial neural network ANN with genetic algorithm GA method is used to find the correlation between operational values as an input Speed, oil type and load and extracted outputs RMS, power loss and shear stress these data have reached in an experimental Examination for understanding the effect of the operational variables on generation of acoustic emission in hydraulic bearing ,Results show that ANN with GA with an error of 12% can estimate the relation between input and output data Also the existence relationship from ANN can be used by GA in order to obtain optimal amount Such a relationship will go some way in further developing the applicability of AE technology to monitoring rotating machinery
کلیدواژهها
نویسندگان
M. Abbasi
Mechanical Engineering ,Dept , Islamic Azad University ,Tehran Branch, Takestan, Iran
H. Fadaei
Mechanical Engineering ,Dept , Islamic Azad University ,Tehran Branch, Takestan, Iran
A. Refahi Oskouei
Department of Mechanical Eng , Islamic Azad University, East Tehran Branch, Tehran, Iran
M. Esmaili
Mechanical Eng Group, Kar University, Ghazvin, Iran
شیوه ارجاع
Abbasi, M. and Fadaei, H. and Refahi Oskouei, A. and Esmaili, M.,1390,Using Artificial Neural Network with Genetic Algorithm to Estimate the Relationship between Operational Variables in Hydrodynamic Bearing and Acoustic Emission Features,12th Iranian Conference on Manufacturing Engineering (ICME 2010),Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران6 دی 1390 · تهران