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Neural network based functional approximation techniques associated with rule based techniques are applied on the condition monitoring task of rotating machines equipped with hydrostatic self levitating bearings. Based on fluid online measured characteristic data, including pressures and temperature, the inherent hydraulic pumping system and the self levitating shaft is monitored and diagnosed applying...
In this research work a neural network based technique to be applied on condition monitoring and diagnosis of rotating machines equipped with hydrostatic self levitating bearing system is presented. Based on fluid measured data, such pressures and temperature, vibration analysis based diagnosis is being carried out by determining the vibration characteristics of the rotating machines on the basis...
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