Data-Driven Condition Monitoring and Failure Analysis of Ball Bearing a Rotary Machine Element
| Main Authors: | Dip Kumar Saha, Md. Robiul Islam |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3520442 |
Daftar Isi:
- Bearing is an essential component for every rotary mechanical and electromechanical system. It acts as an anti-friction element for the system that also helps to reduce energy consumption. Due to rapid industrial growth, the maintenance work has also been increased. To lessen production downtime and increase productivity management are much more focused on the maintenance section. That’s why condition-based maintenance is getting popularity day by day instead of traditional maintenance techniques. In condition monitoring, the bearing can play a vital role. As in maximum cases, the machine vibration is transmitted through the shaft that is passed through bearing, the fault analysis of bearing can be a good technique for machine condition monitoring purposes. This paper is here to evaluate the failure of ball bearing especially inner race fault under different operating conditions. The bearing data collected from the Society for Machinery Failure Prevention Technology (MFPT) is used to establish a suitable diagnosis technique. Alongside bearing defect analysis, this paper is also here to explain traditional condition-based maintenance techniques available for machine maintenance.