Influence of homo- and heterocharges on the growth dynamics of electrical trees

Sarathi, R.; Anilkumar, C.; Jayaganthan, R.

doi:10.1016/j.matlet.2004.02.013

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Hence, it is evident that there is a strong likelihood that the fractal dimension and the electrical tree structure have a definite relationship with each other. Studies related to [2] reveal that the probability of tree growth and the fractal dimensions exhibit a viewpoint that establishes a contrary relationship. Hence when the value of this fractal dimension (df) is less than 2, it could be a branch type tree and when it lies in between the value of 2 to 3, it could result into a bush type tree.…”

Section: Fractal Analysismentioning

confidence: 99%

“…It is also worth noting that treeing may or may not lead to breakdown of the dielectric. Similarly, the process of initiation and growth of electrical treeing may or may not take a long duration, since it is strongly governed by specific environmental and localized conditions such as moisture, humidity, space-charge [2], pressure and temperature inside cavities etc. It is evident from the preceding discussion that several challenges related to replicating real-time electrical treeing initiation and growth will continue to confront the research community such as difficulties in obtaining similar test conditions (ambient temperature, humidity, moisture) in controlled laboratory environments, complexities in ensuring high degree of reliability of treeing prediction related test results due to unavoidable variations in the polymerization index of each type of insulation test object / sample, spurious discharges due to dielectric boundary or surface imperfections etc.…”

Section: Introductionmentioning

confidence: 99%

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A review on deterministic and stochastic models for electrical treeing initiation and propagation in solid insulation systems from the perspective of prediction assessment techniques

Balamurugan.¹,

Venkatesh²

2018

IJET

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Electrical treeing is a challenging prospect related to degradation mechanism in dielectrics that eventually leads to its breakdown. Treeing propagation depends on dielectric and electrode configuration thus leading to types such as branch, filamentary, bush etc. Though researchers have attempted a gamut of studies related to treeing, it is evident that appropriate choice of prognostic model is essential for prediction of ageing of insulation that emulate features such as dendrite length, channel width, space charge etc. Although studies related to treeing modeling have taken up depictions such as Diffusion Limited Aggregation, Field Limiting Space Charge etc. to obtain estimates of electric potential based on boundary value equations (Laplace and Poisson) utilizing tools such as Fractal Analysis, Cellular Automata etc., challenges such as space charge, inhomogeneity factor etc. continue to confront researchers. This research gives a detailed insight into a wide spectrum of studies related to treeing and ageing prediction assessment of insulation based on physical, electrical, numerical and analytical models developed thus far. This study also summarizes succinctly, the merits and limitations in each method and avenues for improvement. Finally, this research gives clues into important future opportunities related to methodologies for development pertaining to treeing prediction and ageing assessment.Recently the concept of CA has been effectively utilized by various researchers like [5]-[6], [11], [43]-[46] for their investigations related to the growth characteristics of electrical trees with distinct features of inclusion of dielectric inhomogeneity factor, effect of space charge, nano-composites etc. especially in case of solid dielectrics which are as specified in Table 6.

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Section: Fractal Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%