Wetzker, UlfUlfWetzkerRichter, AnnaAnnaRichterJain, VineetaVineetaJainWicht, JakobJakobWicht2024-08-132024-08-132024-07-30https://publica.fraunhofer.de/handle/publica/47315010.1007/978-3-031-64832-8_17With the increasing proliferation of wireless devices and Internet-of- Things (IoT) applications in various fields, such as patient monitoring, vehicle-to everything (V2X) communication and industrial automation, there is a growing significance in developing robust methods and tools for evaluating and predicting link quality, monitoring information flow, as well as conducting failure analysis. This is particularly important in safety-critical industrial IoT (IIoT) environments such as smart factories, where challenging signal propagation conditions and interference from coexisting wireless technologies can severely impact network performance and application reliability. This contribution provides a comprehensive analysis of coexistence issues in industrial IIoT networks and highlights the complexities and challenges associated with performing failure analysis on a large scale. The necessity of using data-driven methods in the development of efficient and user-friendly failure analysis systems is discussed and the challenges regarding required datasets are highlighted.endata augmentationobject detectionAutoencoderDynamic Time WarpingIndustrial IoTfailure analysiscoexistence problemswireless monitoring systemsDDC::000 Informatik, Informationswissenschaft, allgemeine Werkebook article