書誌事項
- タイトル別名
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- Fault Diagnosis System of Machine Using
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抄録
This paper describes a method on machine fault diagnosis system using neural networks. As fault diagnosing signal, the sound signal of machine can be used, in which the data is obtained as the power spectrum density through FFT analyzer. First. the structure of fault diagnosis system is shown. Next, in the neural networks, both the normal and abnormal conditions of machine can be learned by back-propagation method and the fault diagnosis system of a machine may be constructed. Finally, through simulation experiments, it was verified that the failure of machine was diagnosed based on the spectrum of sound signal including noise. Also, it was certified that, using the real data of sound signal, the fault diagnosis system proposed here can be applied to the practical machine.
収録刊行物
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- 福井大学工学部研究報告
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福井大学工学部研究報告 45 (1), 1-10, 1997-03
福井 : 福井大学工学部
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詳細情報 詳細情報について
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- CRID
- 1050282812765766912
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- NII論文ID
- 120003111420
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- NII書誌ID
- AN00215401
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- ISSN
- 04298373
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- NDL書誌ID
- 4182441
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- 本文言語コード
- en
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
- CiNii Articles