This thesis proposes new methodologies for automatically identifying topologies of lines with one or more sections in a telephone network, which are used in digital subscriber line (DSL) systems. Methods for this purpose are very important for the line qualification in order to install the DSL service, especially when upgrading to more advanced services such as VDSL or adopting vectoring. In order to be useful to service providers in the qualification of a network, usually consisting of millions of lines, it is desired that, as well being accurate, qualification methods should have low computational cost. The proposed methods are based on this observation and perform an analysis of both impulse response and time domain reflectometry trace of a line under test. These two signals are analyzed using a method based on wavelet transform that identifies and extracts features that contain information about the line topology. Depending on the available features, one of three expert systems developed for interpreting information and identifying the topology is used. A thorough comparison with two state-of-art methods is also presented using several twisted pair copper cables. The results show that the proposed methods provide good accuracy with respect to topology identification at lower computational cost with respect to the other evaluated techniques.
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