Model identifiability concerns the uniqueness of uncertain model parameters to be estimated from available process data and is often thought as a prerequisite for physical interpretability model. Nevertheless, may challenging obtain in practice due both stochastic deterministic uncertainties, e.g. low variability, noisy measurements, erroneous structure, stochasticity locality optimization algo...