Predictive Maintenance for Communication Networks
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Indola, Niklas | |
dc.contributor.author | Lepola, Marko | |
dc.contributor.department | Sähkö- ja tietoliikennetekniikan osasto | fi |
dc.contributor.school | Teknillinen korkeakoulu | fi |
dc.contributor.school | Helsinki University of Technology | en |
dc.contributor.supervisor | Sepponen, Raimo | |
dc.date.accessioned | 2020-12-04T15:21:02Z | |
dc.date.available | 2020-12-04T15:21:02Z | |
dc.date.issued | 2002 | |
dc.format.extent | 101 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/90240 | |
dc.identifier.urn | URN:NBN:fi:aalto-2020120449075 | |
dc.language.iso | en | en |
dc.programme.major | Sovellettu elektroniikka | fi |
dc.programme.mcode | S-66 | fi |
dc.rights.accesslevel | closedAccess | |
dc.subject.keyword | base station | en |
dc.subject.keyword | communication equipment | en |
dc.subject.keyword | electronic failure models | en |
dc.subject.keyword | feature recognition | en |
dc.subject.keyword | high-end server | en |
dc.subject.keyword | mathematical modeling | en |
dc.subject.keyword | neural networks | en |
dc.subject.keyword | parts count | en |
dc.subject.keyword | parts stress | en |
dc.subject.keyword | power supply | en |
dc.subject.keyword | predictive maintenance | en |
dc.subject.keyword | preventive maintenance | en |
dc.subject.keyword | prognostics | en |
dc.subject.keyword | reactive maintenance | en |
dc.subject.keyword | reliability estimates | en |
dc.subject.keyword | thermal imaging | en |
dc.subject.keyword | UPS system | en |
dc.title | Predictive Maintenance for Communication Networks | en |
dc.type.okm | G2 Pro gradu, diplomityö | |
dc.type.ontasot | Master's thesis | en |
dc.type.ontasot | Pro gradu -tutkielma | fi |
dc.type.publication | masterThesis | |
local.aalto.digiauth | ask | |
local.aalto.digifolder | Aalto_34611 | |
local.aalto.idinssi | 19126 | |
local.aalto.openaccess | no |