Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning.
Saved in:
| Title: | Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning. |
|---|---|
| Authors: | Yan, Bingchuan1 (AUTHOR), Zheng, Jianfeng1 (AUTHOR) zhengjf@pipechina.com.cn, Li, Rui2 (AUTHOR) kjlirui@petrochina.com.cn, Fu, Kuan2 (AUTHOR), Chen, Pengchao2 (AUTHOR), Jia, Guangming1 (AUTHOR), Shi, Yunhan3 (AUTHOR), Lv, Junshuang3 (AUTHOR), Gao, Bin3 (AUTHOR) |
| Source: | Nondestructive Testing & Evaluation. Oct2023, Vol. 38 Issue 5, p753-766. 14p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 170023049 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yan%2C+Bingchuan%22">Yan, Bingchuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Jianfeng%22">Zheng, Jianfeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhengjf@pipechina.com.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Rui%22">Li, Rui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> kjlirui@petrochina.com.cn</i><br /><searchLink fieldCode="AR" term="%22Fu%2C+Kuan%22">Fu, Kuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Pengchao%22">Chen, Pengchao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jia%2C+Guangming%22">Jia, Guangming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Yunhan%22">Shi, Yunhan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Junshuang%22">Lv, Junshuang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Bin%22">Gao, Bin</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. Oct2023, Vol. 38 Issue 5, p753-766. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=170023049 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10589759.2023.2169285 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 753 Titles: – TitleFull: Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yan, Bingchuan – PersonEntity: Name: NameFull: Zheng, Jianfeng – PersonEntity: Name: NameFull: Li, Rui – PersonEntity: Name: NameFull: Fu, Kuan – PersonEntity: Name: NameFull: Chen, Pengchao – PersonEntity: Name: NameFull: Jia, Guangming – PersonEntity: Name: NameFull: Shi, Yunhan – PersonEntity: Name: NameFull: Lv, Junshuang – PersonEntity: Name: NameFull: Gao, Bin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10589759 Numbering: – Type: volume Value: 38 – Type: issue Value: 5 Titles: – TitleFull: Nondestructive Testing & Evaluation Type: main |
| ResultId | 1 |
