In-Process Noise Detection System for Product Inspection by Using Acoustic Data - Advances in Production Management Systems
Conference Papers Year : 2019

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

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.
Fichier principal
Vignette du fichier
489108_1_En_48_Chapter.pdf (348.88 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

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

Licence

Identifiers

Cite

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⟩
47 View
97 Download

Altmetric

Share

More