The Cascaded Precise Faults Early Warning of Wind Turbine Based on MTF-ResNet-ViT
This paper proposes a cascaded precise WT fault early warning method based on MTF-ResNet-ViT.In the first stage,the SCADA data is converted into Markov Transition Field images,and the fault characteristics is extracted by residual network to realize condition monitoring and fault early warning for multiple main components simultaneously,then labeled and enhanced the fault code data.In the second stage,the grayscale labeled SCADA data images are processed by the vision transformer,to establish the fault code type early warning model and realized precise fault codes early warning.The results show that the proposed method can effectively label and enhance the fault code data and realize precise WT fault codes early warning.
wind turbinedata graphizationfault early warningSCADA data
NETL
NSTL
万方数据
