Industrial IoT Devices and Cyber-Physical Production Systems: Review and Use Case
| Autor: | Rogerio Dionisio, Eva Masero Rubio, Pedro M. B. Torres |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Flexibility (engineering)
Electric motor Computer science media_common.quotation_subject Cyber-physical system 020206 networking & telecommunications 02 engineering and technology Adaptability Predictive maintenance 020202 computer hardware & architecture 0202 electrical engineering electronic engineering information engineering Key (cryptography) Systems engineering Production (economics) State (computer science) media_common |
| Zdroj: | Innovation, Engineering and Entrepreneurship ISBN: 9783319913339 CIÊNCIAVITAE Ciência Vitae |
| Popis: | The present paper describes the state of the art related to IIoT Devices and Cyber-Physical systems and presents a use case related to predictive maintenance. Industry 4.0 is the boost for smart manufacturing and demands flexibility and adaptability of all devices/machines in the shop floor. The machines must become smart and interact with other machines inside and outside the industries/factories. The predictive maintenance is a key topic in this industrial revolution. The reason is based on the idea that smart machines must be capable to automatically identify and predict possible faults and actuate before they occur. Vibrations can be problematic in electrical motors. For this reason, we address an experimental study associated with an automatic classification procedure, that runs in the smart devices to detect anomalies. The results corroborate the applicability and usefulness of this machine learning algorithm to predict vibration faults. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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