Growth Analysis of Neighbor Network for Evaluation of Damage Progress

We constructed two types of neighbor networks, i.e., TOP k and k -MNN (Mutually Nearest Neighbor) networks, on observed AE (Acoustic Emission) data produced by damages in SOFC (Solid Oxide Fuel Cell). Afterwards, we analyzed growth properties of the neighbor networks for evaluation of damage progress. The results show that the power index of degree dynamically changes as damage progress phase changes. Also we found the decrease of cluster coefficient and shrinking effective diameter in k-MNN network reflect the occurrence of various combination of damages.