| dc.contributor.author | Kullaa, Jyrki | |
| dc.date.accessioned | 2021-10-21T13:37:29Z | |
| dc.date.available | 2022-05-11T00:00:20Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://www.theseus.fi/handle/10024/506368 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier | |
| dc.rights | All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. | |
| dc.subject | Virtual sensing | |
| dc.subject | Bayes' rule | |
| dc.subject | Structural health monitoring | |
| dc.subject | Damage detection | |
| dc.subject | sensor networks | |
| dc.subject | Environmental or operational effects | |
| dc.title | Robust damage detection in the time domain using Bayesian virtual sensing with noise reduction and environmental effect elimination capabilities | |
| dc.type | publication | |
| dc.identifier.urn | URN:NBN:fi-fe2021102151988 | |
| dc.embargo.terms | 2022-05-12 | |
| dc.relation.articlenumber | 115232 | |
| dc.contributor.organization | fi=Metropolia Ammattikorkeakoulu|sv=Metropolia Ammattikorkeakoulu|en=Metropolia University of Applied Sciences| | |
| dc.subject.yso | Virtual sensing | |
| dc.subject.yso | Bayes' rule | |
| dc.subject.yso | Structural health monitoring | |
| dc.subject.yso | Damage detection | |
| dc.subject.yso | sensor networks | |
| dc.subject.yso | Environmental or operational effects | |
| dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| | |
| dc.format.pagerange | 115232 | |
| dc.relation.ispartofjournal | Journal of Sound and Vibration | |
| dc.relation.issn | 0022-460X | |
| dc.relation.volume | 473 | |
| dc.relation.doi | 10.1016/j.jsv.2020.115232 | |
| dc.okm.selfarchived | fi=Rinnakkaistallennettu|sv=parallellpublicerad|en=self-archived version| | |
| dc.source.identifier | 27398 | |
