Industry 4.0, strives to ensure that production runs smoothly with as few unplanned downtimes as possible. Detecting and predicting different types of failures in components of production systems is crucial in ensuring a smooth production process. This paper therefore focuses on the treatment and analysis of existing solutions for discovering and detecting failures, faults in hydraulic cylinders. These mostly include seal wear and damage to the piston, piston rod and cylinder housing. At the beginning of the thesis, the theoretical foundations of hydraulic cylinders are described, and in the following we focus on the damage of the seals and the problems resulting from the damaged seals. In the form of case studies, the already used advanced approaches for detecting internal and external oil leakage in hydraulic cylinders are presented in more detail. After reviewing and analyzing the advanced approaches used to detect faults in hydraulic cylinders, it was found that the type and location of faults in hydraulic cylinders can be predicted with considerable accuracy.
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