Abstract
Condition based maintenance is regarded as a maintenance strategy that through measured component wear balances availability and accurate operation with necessary maintenance operations. In industrial settings there can be hundreds or thousands of objects to monitor, and systems that are distributed into different networks are seldom compatible. This paper proposes a condition monitoring system based on standardized services operating as parts of a service framework. The solution builds on dynamic service composition as well as standard information models for measurement related data, and supports functionality from sensors to cloud applications. The approach has been applied to industrial processing in mining and it can be claimed to improve interoperability as well as reduce engineering effort when composing functionality supporting maintenance operations.
| Original language | English |
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| Title of host publication | Industrial Electronics Society , IECON 2016 - 42nd Annual Conference of the IEEE |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 5289-5295 |
| ISBN (Electronic) | 978-1-5090-3474-1 |
| ISBN (Print) | 978-1-5090-3475-8 |
| DOIs | |
| Publication status | Published - 22 Dec 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | 42nd Annual Conference of the IEEE Industrial Electronics Society - Palazzo dei Congressi, Florence, Italy Duration: 23 Oct 2016 → 26 Oct 2016 Conference number: 42 |
Conference
| Conference | 42nd Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| Abbreviated title | IECON 2016 |
| Country/Territory | Italy |
| City | Florence |
| Period | 23/10/16 → 26/10/16 |
Keywords
- condition monitoring
- monitoring
- sensors
- production
- machinery
- data models