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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Detalles Bibliográficos
Autores principales: Zhang, Ran, Peng, Zhen, Wu, Lifeng, Yao, Beibei, Guan, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375835/
https://www.ncbi.nlm.nih.gov/pubmed/28282936
http://dx.doi.org/10.3390/s17030549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375835/
https://www.ncbi.nlm.nih.gov/pubmed/28282936
http://dx.doi.org/10.3390/s17030549

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