Causal Discovery has become an area of high interest for researchers. It haslead to great advances in medicine, in the social sciences and in genetics. Butup til now, it is hardly used to identify causal relations in technical systems.This paper presents the basic building blocks for in-depth research. This paperreviews established causal discovery methods and causal models. In contrast toexisting surveys of this domain, we focus on the causal discovery methods usinginterventions. Based thereon, we propose the idea of a promising interventionaldiscovery approach for technical systems. It takes advantage of not only direct,but also indirect causal relationships, which might improve the learning processof causal structures.