Name
Abstract | ||
|---|---|---|
With the development of the wind power industry, wind power has become one of the main green generation energy. At the same time, with the wind power installed capacity increasing, the failure rate gradually growth. As wind turbine is a complex electromechanical equipment, the fault diagnosis for this kind of equipment is also a complicated process. Focused on the current shortage of fault diagnosis knowledge representation, this paper proposes a diagnostic knowledge model for wind turbine and also elaborates the model structure definition with a target to ensure the accuracy of fault diagnosis. Besides, this model can also offer assistance reference model for researchers in related fields to develop advanced methods for sharing and reuse of diagnostic knowledge. |
Year | Venue | Field |
|---|---|---|
2017 | ICIRA | Knowledge representation and reasoning,Reference model,Reuse,Failure rate,Control engineering,Turbine,Engineering,Nameplate capacity,Economic shortage,Reliability engineering,Wind power |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hongwei wang | 1 | 36 | 8.68 |
| Wei Liu | 2 | 373 | 92.81 |
| Zhanli Liu | 3 | 0 | 0.68 |