CHEN Xiangyu, HU Jun, DENG Jun, et al. Weight Correction Model of Condition Assessment for Substation Equipment Based on Multiple Linear Regression Method[J]. High VoltageApparatus, 2017, 53(1): 14-19.
CHEN Xiangyu, HU Jun, DENG Jun, et al. Weight Correction Model of Condition Assessment for Substation Equipment Based on Multiple Linear Regression Method[J]. High VoltageApparatus, 2017, 53(1): 14-19. DOI: 10.13296/j.1001-1609.hva.2017.01.003.
Weight Correction Model of Condition Assessment for Substation Equipment Based on Multiple Linear Regression Method
Condition assessment methods of substation equipment based on scoring guidelines
which are adopted by most power grid companies
lacks of feedback loop for weight correction. As a result
the weight of assessment is relatively fixed
and could not form a scientific and rational correction scheme. In this paper
the authors introduce a condition assessment weight correction model for substation equipment based on the multiple linear regression model. By testing the theory and application examples
it shows that the weight correction model which combines objective historical overhaul
maintenance
data of condition assessment and assessment validation is a more effective weight correction method
and it can provide reference for more accurate condition assessment of substation equipment.