Machining Process/Tool Wear Monitoring System Based on Real-time Sound Recognition.
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- AHN Jung Hwan
- 正会員 釜山大学校工科人学/機械技術研究所
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- LIM Han Seog
- 釜山人学校工科大学大学院
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- TAKATA Shozo
- 正会員 早稲田大学理工学部
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- SATA Toshio
- 正会員 豊田工業大学
Bibliographic Information
- Other Title
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- 実時間機械音認識による加工工程および工具摩耗監視システム
- ジツジカン キカイオン ニンシキ ニ ヨル カコウ コウテイ オヨビ コウグ
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Abstract
A machining process/tool wear monitoring system based on real-time sound recognition and neural network algorithm was developed. The system is composed of a high-speed digital filter bank unit, preliminary test/learning module, database module, and real-time monitoring module. The filter bank is constructed using DSP's and calculates sound patterns through digital filtering program in real-tine. Abnormality in overall process is monitored by comparing a current sound pattern with the standard pattern, which is calculated and registered in the database for each NC block through test machining prior to production machining. Since the overall change of the sound pattern due to tool wear is too small to be detected by simple comparison of pattern, the way to monitor tool wear more reliably by using the rate of change of pattern components and neural network algorithm is proposed. Evaluation tests were performed for the NC lathe operation in the real shop floor. Environmental noise was reduced remarkably by closing the protection door of machine. Monitoring results showed usefulness of the developed system. Especially tool wear monitoring could judge the time of tool change as exactly as an expert did.
Journal
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- Journal of the Japan Society for Precision Engineering
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Journal of the Japan Society for Precision Engineering 60 (8), 1144-1148, 1994
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
- 1390282679740489856
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- NII Article ID
- 110001371654
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- NII Book ID
- AN1003250X
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- ISSN
- 1882675X
- 09120289
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- NDL BIB ID
- 3890623
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed