Koistinen, Antti, Juuso, Esko (2018) Information from centralized database to support local calculations in condition monitoring. In: Linköping Electronic Conference Proceedings vol. 142, Proceedings of the 9th EUROSIM Congress on Modelling and Simulation, 12-16 September 2016 in Oulu, Finland, (pp.1122-1128). https://dx.doi.org/10.3384/ecp171421122
Information from centralized database to support local calculations in condition monitoring
|Author:||Koistinen, Antti1; Juuso, Esko1|
1Control engineering, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022022120211
Linköping University Electronic Press,
|Publish Date:|| 2022-02-21
Maintenance in industry is currently moving from time planned preventive methods to condition-based operation for better process reliability and lowered manufacturing costs. Machine vibrations include information from operating state and machine health and can be used in the computing of several different features for condition monitoring and process control. These describing values can be used for the estimation of remaining useful life (RUL). Local computing enables the use of advanced algorithms for dense vibration data on-site, right next to the monitored process so that the data can be turned into information without the need for large data transfers and centralized computing. Calculated features can be supported with other sensory data, information through expert knowledge, modelling, and data from similar systems in other installations. Developments in wireless technologies enable the use of small nodes in distributed computing. This paper examines the use of locally calculated generalized norms in combination with supporting information from the global maintenance database.
Linköping electronic conference proceedings
|Pages:||1122 - 1128|
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
|Host publication editor:||
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
222 Other engineering and technologies
This study was made in the Artemis project “Production and energy system automation and Intelligent-Built (Arrowhead — Ahead of the future)”.
© Scandinavian Simulation Society, 2018.