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An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
Multi-sensor data fusion is a feasible technique to achieve accurate and robust results in fault diagnosis of rotating machinery under complex conditions. However, the problem of information losses is always ignored during the fusion process. To solve above problem, an ensemble convolutional neural...
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| I publikationen: | Sensors (Basel) |
|---|---|
| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929198/ https://ncbi.nlm.nih.gov/pubmed/31810161 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235300 |
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