Mathematical Sciences

Lund University

  • Title: MODELLING NON-STATIONARY DISTURBANCES IN DCIP DATA
  • Short description:

    Resistivity and time domain induced polarization
    (DCIP) measurements is a great tool for mapping
    properties of the subsurface. This master thesis project invloves analysis of
    existiving DCIP data to find suitable machine learning
    or signal processing apporaches to deal with non-stationary
    disturbances from trams and metro.
    Prerequisites: FMSF10/MASC04, (FMS051/MASM17), (FMSN35/MASM26)

  • Long description:

    DCIP) measurements is a great tool for mapping
    properties of the subsurface. However, disturbances
    from urban transport systems powered by direct current
    such as trams and metro restricts the applicability
    of the method. These transport systems generates
    varying background potential levels which in many
    cases renders the DCIP data useless.
    The master thesis project involves analysis of
    existiving DCIP data to find suitable machine learning
    or signal processing apporaches to deal with the
    disturbances. The disturbances can be expected to
    have a transient non-stationary stochastic character.
    Appropriate non-stationary models and estimation
    algorithms therefore need to be carefully chosen and
    evaluated. We are looking for one or two highly skilled
    students interested in getting involved in the project.
    The work can be carried jointly by students at separate
    departments, for example one student from civil
    engineering and one from applied math.

    Supervisors: Maria Sandsten, sandsten@maths.lth.se; Torleif Dahlin, torleif.dahlin@tg.lth.se; Per-Ivar Olsson, per-ivar.olsson@tg.lth.se

  • Contact: Maria Sandsten