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Generative Probabilistic approach to Fault Detection based on Adversarial Autoencoders
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jun-Geol Baek | - |
| dc.date.accessioned | 2021-08-27T09:56:08Z | - |
| dc.date.available | 2021-08-27T09:56:08Z | - |
| dc.date.created | 2021-05-26 | - |
| dc.date.issued | 2020-11-16 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/4447 | - |
| dc.publisher | Korean Society for Precision Engineering | - |
| dc.title | Generative Probabilistic approach to Fault Detection based on Adversarial Autoencoders | - |
| dc.title.alternative | Generative Probabilistic approach to Fault Detection based on Adversarial Autoencoders | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Jun-Geol Baek | - |
| dc.identifier.bibliographicCitation | International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM 2020) | - |
| dc.relation.isPartOf | International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM 2020) | - |
| dc.relation.isPartOf | PRESM 2020 | - |
| dc.citation.title | International Symposium on Precision Engineering and Sustainable Manufacturing (PRESM 2020) | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | Online Symposium | - |
| dc.citation.conferenceDate | 2020-11-15 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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