Purpose Fault diagnosis methods based on blind source separation (BSS) for rolling element bearings are necessary tools to prevent any unexpected accidents. In the field application, actual signal acquisition is usually hindered by certain restrictions, such as limited number of channels. The purpose this study fulfill weakness existed BSS method. Design/methodology/approach To deal with proble...

In a high-performance transmission, rolling bearings play crucial role in supporting the loaded shafts and gear mesh whilst minimising friction. Prediction of critical speeds dynamic responses is important to avoid prolonged periods elevated vibration amplitudes, which can contribute premature bearing gearbox failure. Nonlinearities such as backlash time-varying stiffnesses lead complex coupled...

Rolling element bearings (REBs) are vital parts of rotating machinery across various industries. For preventing breakdowns and damages during operation, it is crucial to establish appropriate techniques for condition monitoring fault diagnostics these bearings. The development machine learning (ML) brings a new way diagnosing the rolling In current work, ML models, namely, Support Vector Machin...

in this paper a new isolating system is introduced for short to mid-rise buildings. in comparison to conventional systems such as lrb and hrb, the proposed system has the advantage of no need to cutting edge technology and has low manufacturing cost. this system is made up of two orthogonal pairs of pillow-shaped rollers that are located between flat bed and plates. by using this system in two ...