Sensor Based Condition Monitoring Feature Selection Using a Self - Organizing Map
نویسندگان
چکیده
in the two dimensional output space. The unsupervised process leads to the self organization of modeling with no previous knowledge of what is being modeled and therefore it does not model a predetermined environment. Taking the above into account feature selection was performed by analyzing the contributions of different sensor based features towards tool wear classification. It was found that some of the features, not previously evaluated and justified, have a strong contribution towards tool wear classification.
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