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김덕영

Kim, Duck Young
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In-Process Noise Detection System for Product Inspection by Using Acoustic Data

Author(s)
Baek, WoonsangKim, Duck Young
Issued Date
2019-09-02
DOI
10.1007/978-3-030-29996-5_48
URI
https://scholarworks.unist.ac.kr/handle/201301/79309
Fulltext
https://link.springer.com/chapter/10.1007%2F978-3-030-29996-5_48
Citation
APMS 2019: Advances in Production Management Systems. Towards Smart Production Management Systems, pp.413 - 420
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.
Publisher
Springer New York LLC

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