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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.endPage | 420 | - |
| dc.citation.startPage | 413 | - |
| dc.citation.title | APMS 2019: Advances in Production Management Systems. Towards Smart Production Management Systems | - |
| dc.contributor.author | Baek, Woonsang | - |
| dc.contributor.author | Kim, Duck Young | - |
| dc.date.accessioned | 2024-01-31T23:40:47Z | - |
| dc.date.available | 2024-01-31T23:40:47Z | - |
| dc.date.created | 2020-01-14 | - |
| dc.date.issued | 2019-09-02 | - |
| dc.description.abstract | Objective quality inspection of products in manufacturing process is inseparable from sensor technologies. Inspection methods using analysis of vibration signals have advantages such as being non-destructive, accurate, fast for in-process application. This paper presents recent developments and applications of in-process product inspection which use vibration and acoustic data in various industry. In detail, the inspection system developed with accelerometer, laser vibrometer, laser ultrasonic sensor, acoustic emission sensor, and microphone are presented. An in-process noise detection system for car body parts inspection is introduced as a case study. | - |
| dc.identifier.bibliographicCitation | APMS 2019: Advances in Production Management Systems. Towards Smart Production Management Systems, pp.413 - 420 | - |
| dc.identifier.doi | 10.1007/978-3-030-29996-5_48 | - |
| dc.identifier.scopusid | 2-s2.0-85072962572 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/79309 | - |
| dc.identifier.url | https://link.springer.com/chapter/10.1007%2F978-3-030-29996-5_48 | - |
| dc.language | 영어 | - |
| dc.publisher | Springer New York LLC | - |
| dc.title | In-Process Noise Detection System for Product Inspection by Using Acoustic Data | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2019-09-01 | - |
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