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

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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Bibliographic Details
Main Authors: Min Liu, Xifan Yao, Jianming Zhang, Wocheng Chen, Xuan Jing, Kesai Wang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
remaining useful life
machining tools
multi-sensor
data fusion
back propagation neural network
artificial bee colony
Online Access:https://www.mdpi.com/1424-8220/20/17/4657

Internet

https://www.mdpi.com/1424-8220/20/17/4657

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