Research on Application of Information Model in Wind Turbine Fault Diagnosis

Qing-ming Yu, Ying Huang, Yang Liu, Sicong Yu, Shijie Wang
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引用次数: 4

Abstract

With the increasing proportion of wind power technology in China's energy structure, the fault diagnosis technology of generators, which is the key equipment of wind power generation, is becoming increasingly important. At present, the methods of the fault diagnosis of wind turbines are mostly based on traditional SCADA systems and big data analysis technology. The fault diagnosis process is complicated. Based on the current mature Internet technology, this paper introduces the concept of the Industrial Internet information model into the fault diagnosis of wind turbines and realizes the intelligentization of fault diagnosis of wind turbines. At the same time, the feasibility analysis of this scheme was carried out by studying the existing related cases. The results show that the information model has a stronger application prospect in the fault diagnosis of wind turbines. Compared with traditional methods, the new solution proposed in this paper makes the operation and maintenance and diagnosis of wind turbines more ideal.
信息模型在风力机故障诊断中的应用研究
随着风电技术在中国能源结构中的比重越来越大,作为风力发电关键设备的发电机故障诊断技术显得越来越重要。目前,风电机组的故障诊断方法多基于传统的SCADA系统和大数据分析技术。故障诊断过程比较复杂。本文以目前成熟的互联网技术为基础,将工业互联网信息模型的概念引入到风电机组故障诊断中,实现风电机组故障诊断的智能化。同时,通过对现有相关案例的研究,对该方案进行可行性分析。结果表明,该信息模型在风力发电机组故障诊断中具有较强的应用前景。与传统方法相比,本文提出的新方案使风电机组的运行维护和诊断更加理想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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