DocumentCode :
1249567
Title :
Mixture model of the power law
Author :
Hirose, Hideo
Author_Institution :
Dept. of Comput. Sci., Hiroshima Univ., Japan
Volume :
46
Issue :
1
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
146
Lastpage :
153
Abstract :
This paper deals with a new degradation model, a power-law mixture-model which extends the power law in accelerated life testing. Some types of insulation deteriorate at a rate determined by the stress. If the stresses are classified into distinct groups, a total degradation model could be a mixture or several degradation models. If the breakdown voltage (VB) has a certain failure probability distribution and the degradation follows a power law, then a mixture model of the power law can be constructed. The cluster analysis is done by maximum likelihood estimation. For instance, by using the intermittently-inspected VB test-data of electrical insulation removed from active power-lines, the remaining life of the insulation can be assessed based on this mixture model. Application of the model to the VB data of cross-linked polyethylene insulated cables is demonstrated: the breakdown data are classified into groups using the Akaike Information Criterion and the generalized likelihood ratio test method. The remaining life of the insulation can be estimated with approximate standard deviation, for Japanese 22 kV and 33 kV insulation-class inspected cables, samples are clustered into 4 groups and a positive threshold stress is not found
Keywords :
XLPE insulation; failure analysis; inspection; insulation testing; life testing; maximum likelihood estimation; power cable insulation; power cable testing; 22 kV; 33 kV; Akaike Information Criterion; Japanese cables; Weibull power law; XLPE cables; accelerated life testing; active power-lines; breakdown voltage; cluster analysis; cross-linked polyethylene insulated cables; degradation model; failure probability distribution; generalized likelihood ratio test method; insulation deterioration; intermittently-inspected test data; maximum likelihood estimation; power-law mixture-model; remaining life estimation; total degradation model; Cable insulation; Cables; Degradation; Dielectrics and electrical insulation; Insulation testing; Life estimation; Life testing; Maximum likelihood estimation; Probability distribution; Stress;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.589941
Filename :
589941
Link To Document :
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