Ontology-based heterogeneous knowledge modeling and fusion of steam turbine

Abstract

Abstract: In view of the problems that the knowledge of steam turbine generator equipment maintenance and fault diagnosis is scattered in different power plant, and there are widespread problems such as multi-source heterogeneity, sharing difficulties and the formation of information islands, the structural characteristics of steam turbine generator equipment are analyzed based on the methods of global ontology and local ontology modeling. The global ontology model and local ontology model of the steam turbine generator sets are established by means of Protégé_4.3. The mapping relationship between global ontology and local ontology is designed. The multi-source heterogeneous knowledge fusion and multi-source knowledge retrieval of turbo generator sets are realized. The SQI mechanical fault simulation test rig is used to simulate the faults generated by the steam turbine generator sets. The results show that they have 98% similarity, two different concept faults have the same fault source, which shows that the multi-source heterogeneous knowledge model and fusion method based on ontology is effective and feasible through the simulation of rotor mass eccentricity and rotor imbalance.

Key words: steam turbine generator sets, knowledge modeling, global ontology, local ontology, mapping relationship

CLC Number:

TH133

YAN Chang-feng, ZHANG Yong-ming, AI Ke-yong, LI Yu, WU Li-xiao. Ontology-based heterogeneous knowledge modeling and fusion of steam turbine[J]. Journal of Lanzhou University of Technology, 2021, 47(5): 30-37.

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