Effectiveness of Entropy in Equipment Diagnosis for Acoustic Data
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- Okuda Yuki
- Hiroshima Institute of Technology
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- Maeda Syunji
- Hiroshima Institute of Technology
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- Komatsu Akira
- Math. Research Institute Calc for Industry
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- Taniguchi Tetsuji
- Math. Research Institute Calc for Industry
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- Aoto Yuta
- MEIDENSHA CORPORATION
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- Toda Osamu
- MEIDENSHA CORPORATION
Bibliographic Information
- Other Title
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- ⾳響及び振動データに対する設備診断におけるエントロピーの有効性
Abstract
<p>A method for recording and analyzing sounds generated by target equipment with a smartphone for equipment diagnosis is under investigation. In this report, we focused on the amplitude change caused by the sound generated by a bearing flaw, and found the possibility of detecting abnormalities using entropy, mutual information content, and Kalbach-Leibler divergence. However, the amplitude is affected by the distance between the smartphone and the equipment, and we are currently considering how to deal with this issue. The goal is to make it possible for anyone to easily perform inspections with a single small terminal.</p>
Journal
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- Proceedings of JSPE Semestrial Meeting
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Proceedings of JSPE Semestrial Meeting 2023S (0), 388-389, 2023-03-01
The Japan Society for Precision Engineering
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Keywords
Details 詳細情報について
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- CRID
- 1390860255283078272
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed