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IMEKO TC6 M4Dconf

Hybrid with physical attendance in Berlin, Germany

19 — 21 September 2022

Sensor fault diagnosis using deep learning for offshore structurual health monitoring

SNM - Sensor Network Metrology 

 

21st September, 13:20 CEST
Lecture Hall, Helmholtz Building

Authors

  • Speaker: Martin Koval (Czech Metrology Institute, Brno, Czech Republic)
  • Marek Havlíček (Czech Metrology Institute, Brno, Czech Republic)

Paper

  • THE GENERAL APPROACH OF SENSOR NETWORK363 KB

    The Sensor Network (SN) [1] has become already a well-established concept widely used in many areas of industry such as automotive, mechanical engineering, food industry and energy supply, health care, etc. Rapid development of new technologies has brought novel approaches and implementation of new technologies such as Artificial Intelligence (AI), Cloud Computing, Big Data storage, management, etc. Current trends focus predominantly on monitoring and optimization of processes in order to increase effectiveness and reliability which can be effectively reached only with the help of sensor networks. This article focuses on the general sensor network structure, chances and pitfalls which are related to their use.