Multi-Sensor Data Fusion for Remaining Useful Life Prediction of Machining Tools by IABC-BPNN in Dry Milling Operations

Inefficient remaining useful life (RUL) estimation may cause unpredictable failures and unscheduled maintenance of machining tools. Multi-sensor data fusion will improve the RUL prediction reliability by fusing more sensor information related to the machining process of tools. In this paper, a multi...

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Detalles Bibliográficos
Autores principales: Liu, Min, Yao, Xifan, Zhang, Jianming, Chen, Wocheng, Jing, Xuan, Wang, Kesai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506589/
https://www.ncbi.nlm.nih.gov/pubmed/32824889
http://dx.doi.org/10.3390/s20174657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506589/
https://www.ncbi.nlm.nih.gov/pubmed/32824889
http://dx.doi.org/10.3390/s20174657

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