Cutting State Diagnosis for Shearer through the Vibration of Rocker Transmission Part with an Improved Probabilistic Neural Network

In order to achieve more accurate and reliable identification of shearer cutting state, this paper employs the vibration of rocker transmission part and proposes a diagnosis method based on a probabilistic neural network (PNN) and fruit fly optimization algorithm (FOA). The original FOA is modified...

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Detalles Bibliográficos
Autores principales: Si, Lei, Wang, Zhongbin, Liu, Xinhua, Tan, Chao, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850993/
https://www.ncbi.nlm.nih.gov/pubmed/27058540
http://dx.doi.org/10.3390/s16040479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850993/
https://www.ncbi.nlm.nih.gov/pubmed/27058540
http://dx.doi.org/10.3390/s16040479

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