Detection and monitoring of mechanical faults in vehicles - using multivariate frequency function estimates
| dc.contributor.author | McKelvey, Daniel | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Rylander, Thomas | |
| dc.date.accessioned | 2023-02-02T08:40:58Z | |
| dc.date.available | 2023-02-02T08:40:58Z | |
| dc.date.issued | 2023 | |
| dc.date.submitted | 2023 | |
| dc.identifier.coursecode | EENX30 | |
| dc.identifier.uri | https://odr.chalmers.se/handle/20.500.12380/305953 | |
| dc.setspec.uppsok | Technology | |
| dc.title | Detection and monitoring of mechanical faults in vehicles - using multivariate frequency function estimates | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Engineering mathematics and computational science (MPENM), MSc |