1999
DOI: 10.1109/61.772299
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Field monitoring of parameters and testing of EP and TR-XLPE distribution cables

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Cited by 11 publications
(6 citation statements)
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“…The elimination of water trees and the increase of AC breakdown strength lengthen the life of the cable by many years. 4 The combination of silicone rejuvenation and increased lightning protection is highly recommended to lengthen the life of these aged cables and increase their protection against a lightning event. …”
Section: Discussionmentioning
confidence: 99%
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“…The elimination of water trees and the increase of AC breakdown strength lengthen the life of the cable by many years. 4 The combination of silicone rejuvenation and increased lightning protection is highly recommended to lengthen the life of these aged cables and increase their protection against a lightning event. …”
Section: Discussionmentioning
confidence: 99%
“…The data demonstrates that the impulse strength of a water-treed cable can degrade to 60-80% of the impulse strength of new cable for EPR and TR-XLPE insulation. Data in [4] shows approximately a 50% drop of the TR-XLPE cable insulation impulse strength after two years of service aging. Data in [5] presents a continuous reduction of the impulse strength of 35 kV XLPE cable over its service life, and reports the remaining impulse breakdown strength after 7 years of service at 30% of its initial value All the research above demonstrate that the system impulse strength can degrade significantly as the cable ages.…”
Section: Lightning Protection For Aged Cable Systemsmentioning
confidence: 99%
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“…As pointed out by most of the modern literature on the subject [1][2][3][4][5], practical aids for reliability assessment can be given by the knowledge of the degradation mechanisms, which are responsible for component aging and failure. In the field of electrical insulation [6][7][8][9][10][11][12][13][14], such mechanisms were well established also by virtue of the availability of "accelerated tests" [15][16][17][18]. These aging and life models, when inserted in a probabilistic framework, lead to "physical reliability models".…”
Section: Introductionmentioning
confidence: 99%
“…the following by Tp; (14) which are, of course, rv whose pdf depends on the assumed pdf for Z. In particular, in the numerical application, we have quantities:…”
Section: Outline Of the Proposed Bayesianmentioning
confidence: 99%