风电机组脱网故障认知诊断模型研究

Research on Cognitive Measurement Model of Decoupling Fault Diagnosis for Wind Turbine

面对风力发电产教融合人才培养,构建了风电运维专业知识、实践操作认知图谱,分析了风电运维专业知识、故障解决策略、解决过程能力熟练度等潜在变量关系.以低电压穿越(low voltage ride through,LVRT)等任务特征为例,建立贝叶斯网络和心理测量模型,利用工单系统记录的运维过程和运维结果等观测数据,以证据为中心对工程技术人员实施熟练度评价.最后,研究了认知诊断模型对工程技术人员的实际应用价值.

In this paper,the author constructs the knowledge of wind power operation and maintenance,and analyzes the relationship of potential variables,such as specialized knowledge of wind power operation and maintenance,trouble shooting strategy,ability of solving process,etc.Taking tasks such as low voltage ride through(LVRT),Bayesian network and psychological measurement model are established.The operation and maintenance process and the results of operation and maintenance are recorded by a worksheet system,to evaluate the proficiency of engineers and technicians with evidence as the center.Finally,the practical application value of cognitive diagnosis model to engineers and technicians is studied.