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Fault Detection of Planetary Gears Based on Signal Space Constellations
| Content Provider | MDPI |
|---|---|
| Author | Cristi, án Molina Vicuña Ignacio, R. Matías Martincorena-Arraiza, Maite Blas, Carlos A. De La Cruz Lopez-Martin, Antonio |
| Copyright Year | 2022 |
| Description | A new method to process the vibration signal acquired by an accelerometer placed in a planetary gearbox housing is proposed, which is useful to detect potential faults. The method is based on the phenomenological model and consists of the projection of the healthy vibration signals onto an orthonormal basis. Low pass components representation and Gram–Schmidt’s method are conveniently used to obtain such a basis. Thus, the measured signals can be represented by a set of scalars that provide information on the gear state. If these scalars are within a predefined range, then the gear can be diagnosed as correct; in the opposite case, it will require further evaluation. The method is validated using measured vibration signals obtained from a laboratory test bench. |
| Starting Page | 366 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22010366 |
| Journal | Sensors |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-04 |
| Access Restriction | Open |
| Subject Keyword | Sensors Planetary Gearbox Vibration Signal Processing Fault Detection |
| Content Type | Text |
| Resource Type | Article |
