The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Implementing condition monitoring functionality in production machinery often proves to be a difficult task. Device- and process-specific algorithms must be created while inhomogeneous industrial communication networks hinder the aggregation of control signals and process variables. Further challenges arise from the advance of flexible cyber-physical systems (CPS) and the industrial internet of things...
In industrial manufacturing, high system availability is the most effective lever for increasing productivity. For minimal downtimes, it is important to identify sources of errors at an early stage in order to perform scheduled maintenance. Especially in the field of electric drives manufacturing, the thermo-crimping process is one major technology to join insulated copper wires with belonging current...
Industrial production systems meet strict requirements regarding availability, process control and condition monitoring. As a key enabler of Industry 4.0, cyber-physical systems form the core of a modular, web-based framework, which delivers more efficient condition monitoring mechanisms for maintenance staff in production facilities. The present approach illustrates the potential of a decentralized...
Cyber-Physical Production Systems (CPPS) help to cope with complexity and offer the computing platforms for sophisticated data analytics in smart factories. Nevertheless, in the operation of CPPS, the integration of tacit knowledge of the human as a maintainer has not been considered yet for the improvement of monitoring and diagnosis processes in production systems. The basic motivation for this...
The increasing complexity of production plants in the context of Industry 4.0 poses new challenges with regards to technical maintenance. In industrial domains, Condition Monitoring Systems (CMS) enable fault-tolerant, predictable production systems. Unfortunately, CMS development is challenging due to the distribution of computational tasks among heterogeneous industrial Internet of Things and Services...
The increasing complexity of production plants in the context of Industry 4.0 poses new challenges with regards to technical maintenance and process control. In this context, Cyber-Physical Systems (CPS) for intelligent condition monitoring enable fault-tolerant, predictable production systems. Unfortunately, CPS and Condition Monitoring System development is challenging due to the distribution of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.