The key purpose of this work is to propose a methodology for lifetime prediction of wear parts using 3D surface roughness parameters defined in the standard ISO 25178 part 2 for wear rate determination. In this research the random surface model is used, where the height of surface asperities h(x, y) has a normal probability distribution. As a result of research the equations for estimation of the fatigue wear rate and friction coefficient were derived. Also it was revealed that 3D surface roughness parameters are more influential on linear wear rate. In experimental part authors test practical method for static sliding friction coefficient and slip property estimation for different nanostructured coatings. Method is based on inclined plane and it is usable for wide variations of materials. 5 different titanium-containing nanocoated experimental samples were tested. In addition dynamic sliding friction coefficient and 3D surface texture parameters were measured for all samples using CSM tribometer and Taylor Hobson Forms Talysurf Intra 50 profilometer.