| Title |
Development of an Expert Technique and Program to Predict the Pollution of Outdoor Insulators |
| Authors |
김재훈(Kim, Jae-Hoon) ; 김주한(Kim, Ju-Han) ; 한상옥(Han, Sang-Ok) |
| Keywords |
Outdoor Insulator ; Pollution ; Prediction ; Regression analysis ; ESDD ; SPPP |
| Abstract |
Recently, with the rapid growth of industry, environmental condition became worse. In addition to outdoor insulators in seashore are polluted due to salty wind. Also this pollution causes the flashover and failure of electric equipments. Especially the salt contaminant is one of the most representative pollutants, and known as the main source of the accident by contamination. As well known, the pollution has a close relation with meteorological factors such as wind velocity, wind direction, temperature, relative humidity, precipitation and so on. In this paper we have statistically analyzed the correlation between the pollution and the meteorological factors. The multiple regression analysis was used for the statistical analysis; daily measured equivalent salt deposit density(dependent variable) and the weather condition data(independent variable) were used. Also we have developed an expert program to predict the pollution deposit. A new prediction system using this program called SPPP(salt pollution prediction program) has been used to model accurately the relationship between ESDD with the meteorological factors. |