  We propose a robust universal approach to identify multiple dynamical states,
including stationary and travelling chimera states based on an adaptive
coherence measure. Our approach allows automatic disambiguation of synchronized
clusters, travelling waves, chimera states, and asynchronous regimes. In
addition, our method can determine the number of clusters in the case of
cluster synchronization. We further couple our approach with a new speed
calculation method for travelling chimeras. We validate our approach by an
example of a ring network of type II Morris-Lecar neurons with asymmetrical
nonlocal inhibitory connections where we identify a rich repertoire of coherent
and wave states. We propose that the method is robust for the networks of phase
oscillators and extends to a general class of relaxation oscillator networks.
