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Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence
Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time domain or frequency domain features from raw time seri...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5375835/ https://ncbi.nlm.nih.gov/pubmed/28282936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17030549 |
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