基于大数据的电力设备故障分析与诊断的研究

Research on Fault Analysis and Diagnosis of Power Equipment Based on Big Data

随着电力系统规模的进一步扩大和设备复杂程度的逐渐提升,电网的安全运行也面临着极大的挑战,提升设备运行的科学性以及可靠性,进而有效保证电力系统安全和稳定,已经成为电力行业备受瞩目的一项研究课题。提升设备运行的基本可靠性,除了使用一些运用安全、质量稳定的设备之外,还可以利用提高设备自身的健康状态以及设备故障科学诊断的水准来实现,而且因为电力系统具有复杂性,所以很难简单地从一些数据当中提取具有价值的信息,所以本文通过对大数据进行利用,从设备的健康状态进行科学评估以及诊断的方面展开了科学研究。

With the further expansion of the scale of the power system and the gradual increase in the complexity of equipment,the safe operation of the power grid has also been challenged.How can we improve the scientificity and reliability of equipment operation and effectively ensure the safety and stability of the power system,Has become a research topic that has attracted much attention in the power industry.To improve the basic reliability of equipment operation,in addition to using some equipment that is safe and stable in quality,it can also be achieved by improving the health of the equipment itself and the level of scientific diagnosis of equipment faults.And because of the complexity of the power system,it is very It is difficult to simply extract valuable information from some data,so this article uses big data to carry out scientific research from the aspects of scientific evaluation and diagnosis of the health of the equipment.