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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!
By Ryan CongerThis 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!