A RUL prediction method of equipments based on MSDCNN-LSTM
In order to solve the problems of high data dimension and insufficient consideration of time series correlation information, a multi-scale deep convolutional neural network and long-short-term memory (MSDCNN-LSTM) hybrid model is proposed for remaining useful life (RUL) of equipments. First, the sen...
| Format: | Article |
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| Language: | zho |
| Published: |
EDP Sciences
2021-04-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2021/02/jnwpu2021392p407/jnwpu2021392p407.html |