Intelligent Monitoring of Laser Welding by Neural Network Model and Multivariate Analysis.
Bibliographic Information
- Other Title
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- ニューラルネットと多変量解析によるレーザ溶接の知的監視
- ニューラルネット ト タヘンリョウ カイセキ ニ ヨル レーザ ヨウセツ ノ チ
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Abstract
An intelligent monitoring device for laser welding in small-size pipes is described. It monitors the reflected laser light and the welding speed, etc, learns the normal criteria and the anomalous criteria of welding, and discriminates between normal and anomalous welding. Using the learned criteria, it categorizes the anomaly as one of several types. As a result of evaluation tests, the degree of correspondence between this device and nn expert is about 90%. This paper describes the new methods, the multivariate analysis for discriminating between normal and anomalous welding, and a neural network model for distinguishing the types of anomalies.
Journal
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- TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
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TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 58 (554), 3011-3016, 1992
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001206296959104
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- NII Article ID
- 130004229817
- 110002380527
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- NII Book ID
- AN00187463
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- ISSN
- 18848354
- 03875024
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- HANDLE
- 10460/1029
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- NDL BIB ID
- 3798775
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed