基于人工智能技术的风机健康诊断研究

Research on Fan Health Diagnosis Based on Artificial Intelligence Technology

风力发电产业是高速发展的电力产业,而风机的维护和运营成本很高,通过人工智能的方法对风机健康诊断不但可以做到节能降耗,同时还能预防一些重大事故的发生。以某市风电为例介绍基于人工智能技术对风机故障预测的完整流程,通过对风机数据读取、风机数据清洗加工、模型训练生成、日健康状况评估、风机故障预测等流程可以对风机故障进行诊断。

The wind power industry is a fast-growing power industry, and the maintenance and operation costs of wind turbines are very high. The artificial intelligence method can not only save energy and reduce consumption, but also prevent some major accidents. Taking a city wind power as an example, the complete process of predicting wind turbine fault based on artificial intelligence technology is introduced. Wind turbine faults can be performed through processes such as wind turbine data reading, wind turbine data cleaning processing, model training, daily health assessment, and wind turbine fault prediction.