Abstract
Failure of industrial rotating machines often cost organisations signifi-cant proportions of their revenue, which makes the development of effective and simplified fault detection techniques imminent. A maintenance strategy that has continuous aided the achievement of this objective is condition monitoring (CM). The knowledge and machine understanding generated by a correctly implemented CM can help provide the platform through which potentially catastrophic plant downtimes can be detected early and eventually averted. In this paper, CM of ro-tating machines using vibration-based techniques was simplified through the ap-plication of just one vibration sensor at each of the bearing pedestals of a laborato-ry scale rotating machine under different experimentally simulated conditions of health. Details of the experimental rig, different fault simulations and the proposed simplified fault detection method are provided.
| Original language | English |
|---|---|
| Title of host publication | Journal of Maintenance Engineering |
| Place of Publication | Aylesbury, Buckinghamshire |
| Publisher | Shieldcrest Publishing |
| Pages | 138-147 |
| Number of pages | 10 |
| Volume | 1 |
| Edition | 1 |
| ISBN (Print) | 978-1-911090-39-7 |
| Publication status | Published - 30 Aug 2016 |