Characterization & Anomaly Detection in Radio Sensors: Algorithms for real-time fault detection and classification
| dc.contributor.author | Liljenzin, Oscar | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för matematiska vetenskaper | sv |
| dc.contributor.examiner | Jonasson, Johan | |
| dc.contributor.supervisor | Liu B, Jing | |
| dc.contributor.supervisor | Winston, Garcia-gabin | |
| dc.contributor.supervisor | Jonasson, Johan | |
| dc.date.accessioned | 2024-06-25T09:43:50Z | |
| dc.date.available | 2024-06-25T09:43:50Z | |
| dc.date.issued | 2024 | |
| dc.date.submitted | ||
| dc.description.abstract | In the ever-evolving field of radio technology, accurate sensor readings are a necessity. Faults in sensors can be a costly endeavour. Thus, it is interesting to explore the possibility of automatic fault detection using sensor readings. First different types of faults that occur in radion sensors are modeled. Then different algorithms for fault detection were implemented and evaluated. From this evaluation, it was found that algorithms based on simple heuristics and statistics can in most cases, perform similarly or even better than more advanced machine learning methods. | |
| dc.identifier.coursecode | MVEX03 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/308026 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | PhysicsChemistryMaths | |
| dc.title | Characterization & Anomaly Detection in Radio Sensors: Algorithms for real-time fault detection and classification | |
| 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 |