大型变压器故障诊断识别方法

Large Transformer Fault Diagnosis Identification Method

大型电力变压器传统的电测法故障诊断不仅过程复杂而且还不能有效地识别故障原因。由此,基于隐马尔科夫模型(HMM)和模糊集诊断识别原理的基础上,提出了对变压器绕组故障识别更有效的方法,即双规识别法。通过理论仿真并结合实验验证,这种方法可以对变压器的状态类型作出准确的识别。

Large power transformer traditional electrical measurement fault diagnosis method not only process is complicated and still can＇t effectively identify the cause of the problem. Thus, based on a hidden Markofv model （HMM） and fuzzy set diagnosis, this paper puts forward more effective method for the fault recognition of transformer winding, namely detained recognition method. Through simulation and experimental validation, this method can make accurate state of transformer type of recognition.