| Title |
A Study on Quantitative Analysis for Treeing Deterioration Diagnosis Using Acoustic Detection |
| Abstract |
This paper does acoustic detection of partial discharge using acoustic sensor in polymer. Time sequential measurement of acoustic emission characteristic obtained acoustic sensor deal with statistics process. and 5 characteristic quantities were introduced into this paper. Resulting form analysis of φ-AEA-n pattern (phase-acoustic emission amplitude-pulse number) and AE quantities, it can know useful statistics quantities that AE average inception amplitude (AEAinc) and AE average maximum amplitude (AEAmax) make diagnosis of the middle stage of deterioration, AE pulse number and AE average maximum phase (Θmax) make diagnosis of the last stage of deterioration it obtained that these AE quantities are useful for diagnosis deterioration form experiment results. |