Recognizing different aging stages of oil-paper based on Fisher discriminant
Lijun Yang, Ruijin Liao, Jian Li, Youyuan Wang, Shuaiwei Liang
Abstract
Lijun Yang, Ruijin Liao, Jian Li, Youyuan Wang, Shuaiwei Liang
Abstract
In this paper, the discriminant analysis method is introduced to identify the aging stages of oil-paper. An identification method based on Fisher discriminant function and multiple PD characteristic parameters is proposed. The 30 vectors distracted from 6 samples at 5 different aging stages are used as reference samples to obtain Fisher discriminant functions. The characteristic vector with eleven-dimension is mapped to two-dimension and the other 30 vectors are analyzed as samples need to be identified using discriminant functions. It is concluded that a reasonable result can be achieved using the Fisher discriminant functions.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, the discriminant analysis method is introduced to identify the aging stages of oil-paper. An identification method based on Fisher discriminant function and multiple PD characteristic parameters is proposed. The 30 vectors distracted from 6 samples at 5 different aging stages are used as reference samples to obtain Fisher discriminant functions. The characteristic vector with eleven-dimension is mapped to two-dimension and the other 30 vectors are analyzed as samples need to be identified using discriminant functions. It is concluded that a reasonable result can be achieved using the Fisher discriminant functions.
Key concepts: Kernel Fisher discriminant analysis, Linear discriminant analysis, Discriminant, Optimal discriminant analysis, Discriminant function analysis, Fisher kernel, Pattern recognition (psychology), Dimension (graph theory)