Sensor Fault Detection and Signal Improvement using Predictive Filters
| hal.structure.identifier | Lab-STICC_UBS_CACS_MOCS | |
| dc.contributor.author | KERHASCOET, Hugo | |
| dc.contributor.author | MERIEN, P | |
| hal.structure.identifier | Lab-STICC_UBS_CACS_MOCS | |
| dc.contributor.author | LAURENT, Johann | |
| hal.structure.identifier | Lab-STICC_UBS_CACS_MOCS | |
| dc.contributor.author | SENN, Eric | |
| hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
| dc.contributor.author | HAUVILLE, Frédéric | |
| dc.date.accessioned | 2021-05-14T09:42:27Z | |
| dc.date.available | 2021-05-14T09:42:27Z | |
| dc.date.issued | 2017 | |
| dc.identifier.issn | 1740-0694 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/76736 | |
| dc.description.abstractEn | Navigation systems used in racing boats require sensors to be more and more sophisticated in order to obtain accurate information in real time. To meet the need for accuracy of the surface speed measurement, the mechanical sensor paddle wheel has been replaced by the ultrasonic sensor. This ultrasonic sensor measures the water speed precisely and with very good linearity. Furthermore, by its principle of operation, it measures the water flow several centimetres from the sensor, which puts it outside the boundary layer, the region close to the hull where the flow is disturbed. However, this sensor has several drawbacks: it is quite sensitive and if the flow contains too many air bubbles, the sensor picks them up, which can happen quite frequently on boat with a planing hull. Another limitation of this sensor is its low frequency measurement rate. In this paper, we explain the techniques used based on Kalman filters to address these shortcomings, firstly by identifying the inaccurate measurements caused by inadvertent dropouts, then by improving the useful sensor frequency with GNSS data fusion. | |
| dc.language.iso | en | |
| dc.publisher | Royal Institution of Naval Architects | |
| dc.subject.en | Kalman filter | |
| dc.subject.en | boat speed sensor | |
| dc.subject.en | fault detection | |
| dc.title.en | Sensor Fault Detection and Signal Improvement using Predictive Filters | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.3940/rina.ijsct.2017.b1.186 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Electronique | |
| bordeaux.journal | International Journal of Small Craft Technology | |
| bordeaux.page | 186 | |
| bordeaux.volume | 159 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.issue | Part B1 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02139491 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02139491v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Small%20Craft%20Technology&rft.date=2017&rft.volume=159&rft.issue=Part%20B1&rft.spage=186&rft.epage=186&rft.eissn=1740-0694&rft.issn=1740-0694&rft.au=KERHASCOET,%20Hugo&MERIEN,%20P&LAURENT,%20Johann&SENN,%20Eric&HAUVILLE,%20Fr%C3%A9d%C3%A9ric&rft.genre=article |
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