Development of an Application for Smartphone to Detect Chattering Vibration in Single-Purpose Lathe

This paper proposes a novel chattering vibration detection application (CVDA) for smartphones. The main target machine is a single-purpose lathe. The CVDA uses sound signals between 10 kHz and 20 kHz, and acceleration sensor signals. In general, when evaluating chattering vibration detection methods using sound signals, it is necessary to consider that the operating sound of the target lathe includes environmental and other machine tool operating noise. The environmental noise includes human voices, the sound of rain, and factory broadcasts. The frequencies of these sounds are often less than 10 kHz. However, the operating sound of machine tools contains sound signals between 10 kHz and 20 kHz. In this study, a method to detect chattering vibrations was employed using sound signals between 10 kHz and 20 kHz to remove environmental sounds, and acceleration sensor data to remove the operating sounds of machine tools. The basic device of the proposed analyzer is a smartphone. The advantages of using a smartphone include compactness, convenience, and applicability to many factories.

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Publication Details

Journal
International Journal of Automation Technology
Published
2025-03-04
DOI
https://doi.org/10.20965/ijat.2025.p0162
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
1.24
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Development of an Application for Smartphone to Detect Chattering Vibration in Single-Purpose Lathe

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article

Development of an Application for Smartphone to Detect Chattering Vibration in Single-Purpose Lathe

A. Mizobuchi, Shinichi Hirai, Yuki Oe, Hitoshi Ogawa, Y. Makimoto, Yuya Nara
article en
1 citations

Abstract

This paper proposes a novel chattering vibration detection application (CVDA) for smartphones. The main target machine is a single-purpose lathe. The CVDA uses sound signals between 10 kHz and 20 kHz, and acceleration sensor signals. In general, when evaluating chattering vibration detection methods using sound signals, it is necessary to consider that the operating sound of the target lathe includes environmental and other machine tool operating noise. The environmental noise includes human voices, the sound of rain, and factory broadcasts. The frequencies of these sounds are often less than 10 kHz. However, the operating sound of machine tools contains sound signals between 10 kHz and 20 kHz. In this study, a method to detect chattering vibrations was employed using sound signals between 10 kHz and 20 kHz to remove environmental sounds, and acceleration sensor data to remove the operating sounds of machine tools. The basic device of the proposed analyzer is a smartphone. The advantages of using a smartphone include compactness, convenience, and applicability to many factories.

International Journal of Automation TechnologyVol. 19(2)
Tokushima University (JP)
Openalex Percentile: Top 22%
Industrial Vision Systems and Defect Detection
1.24
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