Abstract Currently, there are two types of defect detection systems used to monitor the health freight railcar bearings in service: wayside hot-box and trackside acoustic systems. These have proven be inefficient accurately determining bearing health, especially early stages development. To that end, a prototype onboard condition monitoring system has been developed validated through extensive ...

79 L~ST OF ILLUSTRATIONS 1. Elastic Hysteresis 2. Overdamped Vibration 3. Critically Damped Vibration 4. Underdamped Vibration 5. Optimum Damping Factor for Specified Error 6. Free Gyroscope 7. Inclined Plane 8. Sliding Shoe 9. Kingsbury Thrust :Bearing 10. Circular Pad Air :Bearing 11. Cylindrical Pad 12. Oil-Ring-Bearing 13. Lo\-T Friction Ball :Bearing 14. Low Friction Roller Bearing 15. Sec...

In the presented work, a parametric multibody simulation model is that capable of predicting friction torque and kinematics tapered roller bearings. For highly accurate prediction bearing friction, consideration solid lubricant mandatory. bearings in particular, contact between rolling element raceway importance. Friction forces end face inner ring rib as well cage pocket contacts are also cons...

A three-dimensional vehicle-axle box bearing coupling model is established. The can calculate the contact force in three directions and obtain dynamic response of axle under real vehicle running environment. load distribution on double row tapered roller analyzed, co-simulation conducted by comprehensively considering transmission between bearing. Taking into account great impact defects bearin...

Taking the non-standardized internal structural dimension parameters of rolling bearings as design variable, constrained optimization mathematical model tapered roller under maximum target basic static load rating and dynamic has been established. Optimization results have obtained by using improved multi-objective genetic algorithm, NSGA-II. After above-mentioned methods were used to bearing o...

Poor information means incomplete and insufficient information, such as small sample and unknown distribution. For point estimation under the condition of poor information, the statistical methods relied on large sample sizes and known distributions may become ineffective. For this end, a fusion method is proposed. The fusion method develops five methods, three concepts, and one rule. The five ...