Predictive Condition Monitoring in Intralogistic Systems
Raivonen, Teemu (2019)
2019
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2019120825257
https://urn.fi/URN:NBN:fi:amk-2019120825257
Tiivistelmä
This thesis focuses on research and implementation of condition monitoring concerning industrial warehouse automation systems.
The research part of this thesis aims to explore the necessity and possibilities of condition monitoring in relation to the state that technology and markets currently reside in. The research also focuses on the pre-requisites of implementation concerning condition monitoring and IIoT systems.
The latter part of this thesis concentrates on the design and implementation of a prototype system specifically designed for a client of SSI Schäfer. This prototype aims to provide applicable solution for reoccurring bearing failures in automated transport shuttles, included in the warehouse automation system of the client.
Lastly, the data provided by the prototype system included in this thesis is compiled to offer analytic insights about the bearing conditions for maintenance and further condition monitoring purposes.
The research part of this thesis aims to explore the necessity and possibilities of condition monitoring in relation to the state that technology and markets currently reside in. The research also focuses on the pre-requisites of implementation concerning condition monitoring and IIoT systems.
The latter part of this thesis concentrates on the design and implementation of a prototype system specifically designed for a client of SSI Schäfer. This prototype aims to provide applicable solution for reoccurring bearing failures in automated transport shuttles, included in the warehouse automation system of the client.
Lastly, the data provided by the prototype system included in this thesis is compiled to offer analytic insights about the bearing conditions for maintenance and further condition monitoring purposes.