Ontology for maintenance of onshore wind turbines

Autor: Martin Lenart, Bernhard Strack, Nina Kramer, Jana Frank
Rok vydání: 2021
Předmět:
Zdroj: Forschung im Ingenieurwesen. 85:265-272
ISSN: 1434-0860
0015-7899
DOI: 10.1007/s10010-021-00466-x
Popis: Operating and maintenance costs, which account for 25% of total costs, are a powerful lever in reducing the electricity generation costs of onshore wind turbines (WT). These costs can be reduced by a condition-orientated maintenance approach. A condition-oriented maintenance strategy optimizes maintenance tasks by executing them with varying levels of detail and focus depending on the system and life cycle phase. OEMs evaluate operating data and structured data from the maintenance history for this purpose, but SMEs lack the capacity for this evaluation. In particular, the unstructured descriptive comments in the maintenance reports generated by service technicians remain unused. In this work, we propose a framework to incorporate this information from the maintenance reports along with the status records from the SCADA system. For this purpose, a mechanism has to be developed to make the contents of the service reports machine-evaluable. The mechanism used in this approach is an ontology, which enables the codification of implicit knowledge such as the experience knowledge of the service technicians. The ontology’s purpose is to link status codes of onshore WT with historical maintenance reports and thereby enabling an automated evaluation. Using an API (application programming interface), the ontology can be integrated into an algorithm to analyse status data and maintenance documents. In this manner, recommendations for actions can be derived and maintenance tasks can be optimized.
Databáze: OpenAIRE
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