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Conference Papers Year : 2019

In-Process Noise Detection System for Product Inspection by Using Acoustic Data

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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.
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Dates and versions

hal-02460470 , version 1 (30-01-2020)

Licence

Attribution - CC BY 4.0

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Woonsang Baek, Duck Young Kim. In-Process Noise Detection System for Product Inspection by Using Acoustic Data. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.413-420, ⟨10.1007/978-3-030-29996-5_48⟩. ⟨hal-02460470⟩
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