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صفحه اصلی
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سی امین کنفرانس بین المللی مهندسی برق
A New Physical Philosophy to Model and Interpret Partial Discharge Phenomenon
نویسندگان :
Arman Vasigh Zadeh Ansari
1
Mahdi Vakilian
2
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
کلمات کلیدی :
Partial Discharge (PD) signals, PD modeling, charged particle, acceleration, signal behavior
چکیده :
Partial Discharge (PD) signals can be detected using different detection methods. In this work UHF signal detection and measurement method is employed. However the proposed novel method of this paper for PD analysis is extendable to analysis of data obtained by other methods. It is interesting to design a model which explains behavior of the detected signals. Circuit modeling of PD is usually preferred and it is developed or applied by most of the researchers, so far. Many models have been developed to explain PD signal behaviors and reconstruct PD signals by using conventional circuit elements such as: inductors, capacitors and one or more switches which are in On/Off position to simulate the main characteristic parameters of the test object such as: its electrical field distribution. Or in a more sophisticated mathematical development, there would be models that work with “conditional functions” like: If/else. However, these approaches are valid and favorable from engineering viewpoint when studying PD signals. It is clear that PD electromagnetic radiation stems from moving and accelerating charged particles; electrons and ions. It seems difficult, and time-consuming or even maybe impossible to study the radiation of many particles in a plasma medium. This work, is a not sophisticated physical approach to model PD signals by studying the accelerated charges radiation and only will employ some rough estimations. The different components of statistical mechanics which are of high concern in macroscopic systems, are not of any concern here. These results are in a good agreement with the experimental results. This point of view in studying PD signals could be developed more by taking into account many other statistical features of plasma medium, and explore a better correlation between the real PD signals and the reconstructed signals, consequently.
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