Feature extraction and selection in machining process – Part 1: What is a Feature and how to obtain it?

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Workload:

2 hours

Proficiency:

Beginner

Target:

Manager, Professionals

This lesson
presents a definition of the term feature in the context of machining process planning
and evaluation which is used in machine learning as the main data carrier. The data collected are transformed into features to be used in machine learning
models. This transformation is performed through various methods and procedures, which are the second topic of this lesson.

Learning outcomes

The learner is able to list and describe the most common types of features of the machining process in context of its planning and evaluation after completing this lesson.
The learner is able to list and describe methods of Feature acquisition from machining process data after completing this lesson.