Abstract
Gearboxes are critical elements of mechanical systems widely used in aerospace, energy generation, land and naval applications. Early detection of changes in the technical condition of this equipment is of great importance for the optimization of their maintenance costs. Vibration signal components resulting from the presence of the developing faults of meshing gears contain the information that, once extracted from the signal, may allow for a reliable estimation of the meshing gears technical condition. Wavelet bicoherence (WB) based technology has been used to obtain the signal feature characterizing the phase relations between the signal components generated by gear faults in the selected frequency bandwidths. In previous researches, WB has been successfully applied to the detection of artificially created gearbox faults. This paper will present the application of WB in the detection of naturally developing gears faults.
| Original language | English |
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| Title of host publication | Thirteenth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2016/MFPT 2016) |
| Subtitle of host publication | Proceedings of a meeting held 10-12 October 2016, Charenton-le-Pont, France |
| Publisher | Curran Associates, Inc |
| Pages | 538-547 |
| Number of pages | 10 |
| ISBN (Print) | 9781510830936 |
| Publication status | Published - 10 Oct 2016 |
| Externally published | Yes |
| Event | 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Paris, France Duration: 10 Oct 2016 → 12 Oct 2016 |
Conference
| Conference | 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies |
|---|---|
| Abbreviated title | CM & MFPT 2016 |
| Country/Territory | France |
| City | Paris |
| Period | 10/10/16 → 12/10/16 |