CC BY-NC-ND 4.0Schneider, MatthiasMatthiasSchneiderLucke, DominikDominikLuckeAdolf, ThomasThomasAdolf2022-03-0530.7.20192019https://publica.fraunhofer.de/handle/publica/25829910.1016/j.procir.2019.03.05210.24406/publica-r-258299In smart factories, maintenance is still an important aspect to safeguard the performance of their production. Especially in case of failures of machine components diagnosis is a time-consuming task. This paper presents an approach for a cyber-physical failure management system, which uses information from machines such as programmable logic controller or sensor data and IT systems to support the diagnosis and repairing process. Key element is a model combining the different information sources to detect deviations and to determine a probable failed component. Furthermore, the approach is prototypically implemented for leakage detection in compressed air networks.enFertigungsmart factoryIndustrie 4.0InstandhaltungCyber-Physisches Produktionssystemjournal article