Developing mathematical models of diagnostic objects describes the object's behavior or structural systems. The aim is to predict sensor signals, diagnose diseases, and differentiate them. Main areas include differential equations, state space, extension functions, stochastic and statistical modeling. Enhances the effectiveness of diagnostics by identifying, adjusting parameters, monitoring and verifying, evaluating parameter sensitivity, confirming models, and matching test data