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This is the opening episode about modeling methods for condition monitoring or predictive maintenance. We talk about theoretical (rule/logic based) versus empirical (data driven) models, give a few examples, and then close with the topic of explainability. There’s a lot more to come on methods, but this is the start!
This is the opening episode about modeling methods for condition monitoring or predictive maintenance. We talk about theoretical (rule/logic based) versus empirical (data driven) models, give a few examples, and then close with the topic of explainability. There’s a lot more to come on methods, but this is the start!