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

• Autorzy: Uhlmann E. , Laghmouchi A. , Geisert C. , Hohwieler E.
• Języki publikacji: EN

Abstrakty

EN

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 Systems) 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.

Słowa kluczowe

EN

condition monitoring; data analysis; sensor network; algorithm; MEMS sensor; cloud

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2017
• Tom: Vol. 17, No. 2
• Strony: 45--55
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Uhlmann E.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany
• Technische Universität Berlin – Institute for Machine Tools and Factory Management (IWF), Germany

autor

Laghmouchi A.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

autor

Geisert C.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

autor

Hohwieler E.

• Fraunhofer Institute for Production Systems and Design Technology (IPK), Germany

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).