In mobile networks emergence of failures is caused by various breakdowns of hardware and software elements. One of the serious failures in radio networks is a Sleeping Cell. In our work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.