“…Thus, the main goal when applying this onlinemonitoring tool for real-system application is to not disturb the linear state, but to be able to identify non-linear mechanisms that occur in the system due to undesired failure modes. The pioneering results related to industrial-size cells with a surface of 80 cm 2 revealed very successful application of THD to identify the most relevant failure modes and degradation phenomena in SOFCs, namely (i) fuel starvation and thus implicitly Ni-reoxidation, (ii) air starvation and thus air electrode morphology changes, and (iii) carbon deposition [17,42,43]. The THD application was even helpful to identify carbon removal and SOFC performance regeneration [17].…”