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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

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