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Machine Fault Diagnosis System Using Neural Networks
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- ASAKURA Toshiyuki
- Dept. of Mech. Engi., Fukui University
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- XU Baojie
- Dept. of Mech. Engi., Beijing Institute of Mech. Industry
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- HAYASHI Shoji
- Dept. of Mech. Engi., Fukui University
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- KOBAYASHI Takashi
- Dept. of Mech. Engi., Fukui University
Bibliographic Information
- Other Title
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- Machine's Fault Diagnosis System Using Neural Networks
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Description
This paper describes a method on machine fault diagnosis system using neural networks and spectral analysis. As fault diagnosing signal, the sound signal of machine can be used. Through simulation experiments, it was certified that the failure of machine was diagnosed based on the spectrum of sound signal including noise. Also, it was verified that, using the reaｌ data of sound signal, the fault diagnosis system proposed here can be applied to the practical machine.
Journal
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- Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 1997 (0), 53-58, 1997-05-05
The ISCIE Symposium on Stochastic Systems Theory and Its Applications
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Keywords
Details 詳細情報について
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- CRID
- 1390001288035348096
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- NII Article ID
- 130007376681
- 130007376784
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- ISSN
- 21884749
- 21884730
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed