Improved anomaly diagnosis of production facilities by combining Autoencoder with spectral characteristics
In a previous study, we had proposed a method for detecting abnormalities using an Autoencoder. It considers the amplitude value of each frequency spectrum while performing the FFT analysis of time-series data. In this study, we applied this method to detect abnormalities in pressure washers. In par...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2025-03-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/91/944/91_24-00161/_pdf/-char/en |
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