Publication Type
Conference Paper
Journal Name
Procedia CIRP
Publication Date
Page Numbers
106 to 109
Volume
101
Conference Name
9th CIRP Conference on High Performance Cutting
Conference Location
Sheffield, United Kingdom
Conference Sponsor
CIRP
Conference Date
-
Abstract
This paper describes the application of logistic classification for tool life modeling and prediction in an industrial setting using shop floor data. Tool life is treated as a classification problem since tool wear can only be measured at the time of tool replacement in a production environment. Laboratory tool wear experiments are used to simulate shop floor wear data by two states: not worn (class 0); and worn (class 1). To incorporate non-linearity in logistic classification, a log-transformation of input features is performed. The logistic classification approach, results, and interpretability of the logistic model are presented.
