... be used effectively. A.D. Rahmatabadi can be contacted at: dashti@yazduni.ac.ir © Emerald Group Publishing Limited 2013 Neural nets Lubrication Gas bearings Noncircular lobed bearing Neural network B¯_mn=B_mnP...

.... It was found that artificial neural network can be successfully used for prediction of mass loss of composites. © Emerald Group Publishing Limited 2012 Composite materials Neural nets Metals Wear Artificial neural network Back propagation Aluminium matrix composites Mass loss Hybrid...

... of vehicle oil quality analysis and fault detection. Şahin Yıldırım can be contacted at: sahiny@erciyes.edu.tr © Emerald Group Publishing Limited 2009 Neural nets Engine components Lubricating oils Road vehicle engineering AF=Activation function BPNN=Back propogation neural...

...@erciyes.edu.tr © Emerald Group Publishing Limited 2009 Surface texture Bearings Neural nets Load capacity Δ(ϖ)=weights variations after update E(ϖ)=error variations for weights η_l(t)=learning rate t=time n_H=numbers...

... can be contacted at: csinan@erciyes.edu.tr © Emerald Group Publishing Limited 2009 Bearings Surface properties of materials Neural nets Lubrication ω=speed of rotation of journal r=radius of journal δ=radial clearance (R−r...

..., but it shows lower variation when the load increases. Ertuğrul Durak can be contacted at: edurak@mmf.sdu.edu.tr © Emerald Group Publishing Limited 2008 Bearings Lubrication Additives Friction Neural nets The additives present in your lubricant improve and strengthen its life...

... Vibration Neural nets Condition monitoring Recently, rotating machineries are widely used in industry and are of special importance. In this kind of machineries, bearings are very important parts that need precise condition monitoring. Higher reliability and safety demands require better fault...

... © Emerald Group Publishing Limited 2007 Neural nets Bearings Thin films B = pad length h = film thickness K = convergence factor L = pad breadth p = mean load pressure S = side leakage factor t...

... Neural nets Elastic properties (fluids) Hydrodynamic lubrication is a sort of lubrication formed by ample lubricating film, which produces pressure between two surfaces moving in mutual dependence. There are a lot of factors explaining the formation of a lubricating film, which can carry loads...

... training number n_O number of output units n_H number of hidden units n_I number of input units α momentum term Nomenclature Neural nets Metals Composite materials Algorithmic languages © Emerald Group...

..., f_T non‐dimensional force components α momentum term n_I numbers of input units © Emerald Group Publishing Limited 2006 Neural nets Porosity Bearings S Sommerfeld number N number of revolutions R radius of the shaft...

... Emerald Group Publishing Limited 2006 Bearings Neural nets Ω angular velocity (1/s) e eccentricity (mm) r _C instant position of C r _GC instant position of G as relative r _G instant position of G m mass (gr...

... at a time. Therefore, this method is able to predict the load carrying capacity with steel shafts with varying surface texture in varying revolutions satisfactorily where common techniques have failed. © Emerald Group Publishing Limited 2005 Surface texture Neural nets Modelling ω...

... Neural nets Surface texture nomenclature h_b=local oil film thickness h=nominal oil film thickness In journal bearings, the load supporting hydrodynamic pressure is very important. In order to create narrowing oil wedge mechanism, there have been...

... be modeled bearing systems in real time applications. © Emerald Group Publishing Limited 2004 Pumps Neural nets Surface pressure Mechanical components notations h=film thicknessh₀=minimum film thicknessh¯=h/h₀...

... and journal radius, respectively. The Sommerfeld number is used to give information about the stability or instability of the shaft. Lubrication Surface texture Neural nets Optimization techniques notation h_L=local oil film thicknessh=nominal oil film...

... network could be modeled slipper bearing systems in real time applications. © Emerald Group Publishing Limited 2004 Pumps Lubrication Surface texture Neural nets notations h=film thicknessh₀=minimum film thicknessk=bearing rigidityk...

.... © Emerald Group Publishing Limited 2004 Mechanical components Neural nets Computer aided design E=error estimator of network F_r=applied load K=stiffness coefficient MSE=mean square error of network output N=total number...

... three layered network. Quick propagation algorithm is used to update the weight of the network during the training. Finally, neural network predictor has superior performance for modelling journal bearing systems with load disturbances. Pressure Velocity Neural nets...