Fault Detection Topics

We are permanently looking for motivated students who, in addition to suitable previous knowledge, have a great interest in our topics and the ability to work independently. Topics after consultation!


The working group Fault Detection deals with the computer-aided analysis and evaluation of measurement data of heating systems. The aim is to be able to detect errors and optimization potentials automatically, even under real conditions of incomplete and inaccurate data.

For this purpose, for example, physically or technically motivated algorithms for fault detection are designed. For the development and validation, either existing data are used or generated in suitable experiments. Two demonstration systems in real buildings are available for investigations in order to obtain data even in a faulty operation, if necessary. But also related topics like automatic sensor allocation, plausibility checks, usability of alternative data sources etc. can be subject of investigation.

In projects with industrial partners, not only systems are evaluated, but also tools are created to advance the automation of fault detection.

We are permanently looking for motivated students who have a great interest in our topics and the ability to work independently.

What we offer

Exciting tasks from ongoing research projects and industrial contracts that help us and you to progress and whose results do not end up in a drawer. Early involvement in the field is often the ideal introduction to later work in research.


Task areas

Topics are assigned taking into account the students' areas of interest and qualifications. Students can also contribute their own ideas when formulating the task and the concrete work packages.

  • Support in current research projects
  • Evaluation and visualization of data from small and large heating systems with Python
  • Programming of algorithms or evaluation tools
  • Experimental work for practical investigation of fault patterns
  • Simulation studies of heat supply systems, if necessary
  • Assistance with research



  • Basic technical understanding of heating systems
  • independent working style, interest in complex problems
  • knowledge of programming languages, especially Python
  • knowledge of simulation programs (desirable)
  • for experiments: manual skills


Scope of a HiWi position

by arrangement between 10-40 hours per month


Examples of previous master thesis topics

  • Experimental and simulation-based investigations of solar circuits under the influence of free gases
  • Algorithms for the detection of leakage in solar circuits (development and experimental investigation) as well as evaluation of heat losses of solar circuit and storage tank
  • Investigations on the use of electronically controlled circulating pumps for volume flow estimation in thermal systems
  • Operational analysis and optimization of a solar thermal system for domestic hot water heating in a multi-family house

(This site was translated by deepl)


Dr.-Ing. Janybek Orozaliev (Leader Thermal Components and Systems)

Kurt-Wolters-Str. 3
34125 Kassel
Ingenieurwissenschaften I, 3214