Dynamics of rotors supported on fluid-film bearings using neural networks

Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology

Volumn 215, Issue 2, 2001, Pages 149-156

  Rao, M A ^a   Srinivas, J ^a  

^a ANDHRA UNIVERSITY   (India)

Author keywords

Neural network models; Non linear pressure distribution; Reynolds equation; Squeeze film damper; Transient response

Indexed keywords

ALGORITHMS; BEARINGS (MACHINE PARTS); EQUATIONS OF MOTION; LUBRICATING OILS; NEURAL NETWORKS;

SHAFT CENTRE;

ROTORS;

BEARING; FLUID FILM; NEURAL NETWORK; NON-LINEAR MOTION; ROTOR SHAFT; TRANSIENT RESPONSE;

EID: 0035152798     PISSN: 13506501     EISSN: None     Source Type: Journal    
DOI: 10.1243/1350650011541792     Document Type: Article

References (10)

1. The efficient computation of vibration response of an aero-engine rotor damper assembly
2. Transient vibration of high speed light weight rotors due to sudden imbalance
3. The influence of fluid inertia forces on the sudden unbalance response of SFD supported rotors
4. Use of computational fluid dynamics in hydrodynamic lubrication
5. Modelling pressure distribution in a rotating gas bearing using neural networks
6. Non-parametric models in the monitoring of engine performance and condition
7. Non-linear analysis of dynamic characteristics of cylindrical bearing oil film
8. On the translatory whirl motion of a vertical rotor in plain cylindrical gas-dynamic journal bearings