Theoretical background of using AI in process preparation and evaluation

This course introduces AI model creation and usage for process planning and evaluation, covering essential concepts such as data acquisition, signal processing, feature extraction, and model development. You will explore different AI approaches, understand how to select the most suitable method for machining applications, and learn the step-by-step process for building and evaluating AI models. 

What you will learn: 

• Compare and select the most appropriate AI approaches for machining process planning and evaluation. 
• Understand and apply the full workflow of AI model creation: data acquisition, signal processing, feature extraction and selection, and data structure design. 
• Interpret AI model results, considering limitations and potential biases. 
• Build a theoretical foundation for practical AI applications in machining processes. 

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