Application of Data Mining Technique Based on Grey Relational Analysis in Oil-Immersed Power Apparatus Fault Diagnosis

Data mining, which is also referred to as knowledge discovery in databases, is the process of extracting valid previously unknown, comprehensible and actionable information from large databases and using it to make crucial decisions. In this paper, we present the data mining process from dissolved gas data extraction to characteristic vectors by grey relational analysis, and corresponding algorithms. We then use practical data to evaluate these feature selection methods. Results from this study show that the method is more accurate than that by the IEC/IEEE standard method.