Intelligent Prediction of Fan Rotation Stall in Power Plants Based on Pressure Sensor Data Measured In-Situ

Blower and exhaust fans consume over 30% of electricity in a thermal power plant, and faults of these fans due to rotation stalls are one of the most frequent reasons for power plant outage failures. To accurately predict the occurrence of fan rotation stalls, we propose a support vector regression...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Xiaogang, Wang, Songling, Liu, Jinlian, Liu, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063075/
https://www.ncbi.nlm.nih.gov/pubmed/24854057
http://dx.doi.org/10.3390/s140508794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063075/
https://www.ncbi.nlm.nih.gov/pubmed/24854057
http://dx.doi.org/10.3390/s140508794

Ejemplares similares