Design and implementation of a holistic framework for data integration in industrial machine and sensor networks

Digitalization and connectivity trends in industrial plants and production equipment create vast and heterogeneous networks of data sources, data sinks and various communication protocols. Data fusion and evaluation of these resources result in high costs for data integration and maintenance. Therefore, we propose a new framework, called MyGateway, enabling effortless integration of heterogeneous data sources, their fusion within the framework and publication to data sinks as needed. For easy integration, deployment, and expansion of the framework we provide an implementation in JAVA using open-source adapters for common industrial protocols and a simple API for usage in user specified setups

Misalignment detection on linear feed axis with FFT and statistical analysis using motor current

The linear feed axes are critical subsystems in many production machines and have important responsibilities such as transporting workpieces and tools in the process. Therefore, the component’s working condition is crucial for the production of high-quality products. Because these systems gradually deteriorate, it is necessary to detect these changes and occurring faults with condition monitoring systems. In this study, the motor current of feed axes is monitored for axis misalignment that occurs during or after assembly. We conduct diagnosis with Fast Fourier Transform (FFT) and statistical methods in order to differentiate different misalignment scenarios and operating constraints of the feed axis. Different states are achieved by simulating left and right axis misalignment and operating the table at different speeds and strokes