DocumentCode :
1480262
Title :
A statistical method for predicting insulation life
Author :
Horton, W. H.
Author_Institution :
Westinghouse Electric Corporation, East Pittsburgh, Pa.
Volume :
75
Issue :
5
fYear :
1956
fDate :
5/1/1956 12:00:00 AM
Firstpage :
442
Lastpage :
442
Abstract :
TO EVALUATE INSULATION SYSTEMS, periods of humidification and operation at elevated temperatures (i.e, temperatures in the range of 175 to 275 C) are necessary if experimental data on the life of the system are to be realized in a reasonable length of time. After insulation life data has been obtained under several different operating conditions, the problem then is to evaluate the system in terms of its suitability for commercial use. A statistical technique whereby this evaluation can be achieved is known as regression analysis, which is concerned with the study of the relationship between two or more variables. In applying this analysis, it may be necessary to edit and transform the data; but in essence, this analysis involves the determination and significance testing of the functional relationship and the determination of the confidence envelope for the estimated relationship.
Keywords :
Equations; Insulation; Insulation life; Regression analysis; Standards; Temperature distribution;
fLanguage :
English
Journal_Title :
Electrical Engineering
Publisher :
ieee
ISSN :
0095-9197
Type :
jour
DOI :
10.1109/EE.1956.6441894
Filename :
6441894
Link To Document :
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