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Application of artificial neural network and wavelet transform for vibration analysis of combined faults of unbalances and shaft bow
Rotor test rig Rotor faults vibration analysis, unbalance
2010/9/26
The vibration analysis of rotating machinery can give an indication of the condition of potential faults such as unbalance, bent shaft, shaft crack, bearing clearance, rotor rub, misalignment, loosene...
Wavelet Neural Network Based on NARMA-L2 Model for Prediction of Thermal Characteristics in a Feed System
wavelet neural network NARMA-L2 model particle swarm optimization
2011/8/3
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...
Neural Network Compact Ensemble and Its Applications
neural network compact ensemble(NNCE) combination weights classification performance
2011/8/3
There has been many methods in constructing neural network (NN) ensembles, where the method of simultaneous training has succeed in generalization performance and efficiency. But just like regular met...
Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning
Regression Artificial Neural Network Models Surface Roughness Prediction Cutting Parameters CNC Turning
2009/9/4
Surface roughness, an indicator of surface quality, is one of the most specified customer requirements in machining of parts. In this study, the experimental results corresponding to the effects of di...
Prediction of Friction Stir Welding Characteristic Using Neural Network
Friction stir welding Mechanical properties ANN
2010/1/15
An artificial neural network (ANN) model was developed for the analysis and simulation of the correlation between the
friction stir welding (FSW) parameters of aluminum (Al) plates and mechanical pro...