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Smart wireless sensor network and configuration of algorithms for condition monitoring applications

 
: Uhlmann, E.; Laghmouchi, A.; Geisert, C.; Hohwieler, E.

Journal of Machine Engineering 17 (2017), Nr.2, S.45-55
ISSN: 1895-7595
ISSN: 1642-6568
Englisch
Zeitschriftenaufsatz
Fraunhofer IPK ()

Abstract
Due to high demand on availability of production systems, condition monitoring is increasingly important. In recent years, the technical development have improved for realization of condition monitoring applications as a result of technological progress in fields such as sensor technology, computer performance and communication technology. Especially, the approaches of Industrie 4.0 and the use of the Internet of Things (IoT) technologies offer high potential to implement condition monitoring solutions. The connection of several sensor data of components to the cloud allows the identification of anomalies or defect pattern, this information can be used for predictive maintenance and new data-driven business models in production industry. This paper illustrates a concept of a smart wireless sensor network for condition monitoring application based on simple electronic components such as the single-board computer Raspberry Pi 2 modules and MEMS (Micro-Electro-Mechanical S ystems) vibration sensors and communication standards MQTT (Message Queue Telemetry Transport). The communication architecture used for decentralized data analysis using machine learning algorithms and connection to the cloud is explained. Furthermore, a procedure for rapid configuration of condition monitoring algorithms to classify the current condition of the component is demonstrated.

: http://publica.fraunhofer.de/dokumente/N-456037.html