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...

Slewing bearing, which is widely applied in tank, excavator and wind turbine, is a critical component of rotational machine. Standard procedure for bearing life calculation and condition assessment was established in general rolling bearings, nevertheless, relatively less literatures, in regard to the health condition assessment of slewing bearing, were published in past. Real time health condi...

Roller friction bearings are widely used in machine-building, they one of the most loaded parts. Studying their wear resistance allows to optimize process exploitation, which increases reliability mechanisms general. The purpose study is determine effect load on slip real rolling friction. Materials and methods research: mechanism slipping, we model form a linear contact two disks, pressed agai...

Reservoir characterization plays an important role in different parts of an industrial project. The results from a reservoir characterization study give insight into rock and fluid properties which can optimize the choice of drilling locations and reduce risk and uncertainty. Delineating hydrocarbon bearing zones within a reservoir is the main objective of any seismic reservoir characterization...

Spare parts inventories assist maintenance staff to keep equipment in operating condition. Thus the level of spares stocked has a direct bearing on machine availability. This paper presents an innovative risk based approach for spare parts inventory optimisation. Research presented here is in response to a real-life problem of developing a methodology for optimising the stocking of spare parts ...

This study aimed at presenting a method for formulating optimal production, repair and replacement policies. The system was based on the production rate of defective parts and machine repairs and then was set up to optimize maintenance activities and related costs. The machine is either repaired or replaced. The machine is changed completely in the replacement process, but the productio...

This paper discusses the fault features selection using principal component analysis and using multi-class support vector machine (MSVM) for bearing faults classification. The bearings vibration signal is obtained from experiment in accordance with the following conditions: normal bearing, bearing with inner race fault, bearing with outer race fault and bearings with balls fault. Statistical pa...