Title :
An evidential reasoning approach to transformer condition assessments
Author :
Tang, W.H. ; Spurgeon, K. ; Wu, Q.H. ; Richardson, Z.J.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, UK
Abstract :
This paper presents an evidential reasoning (ER) approach to the transformer condition assessment. An ER algorithm is briefly introduced which is used to combine evidences and deal with uncertainties. The methodology of transferring the transformer condition assessment problem into a multiple-attribute decision-making (MADM) solution under an ER framework is then presented. Several solutions to the transformer condition assessment problem, using the ER approach, are then illustrated, highlighting the potential of the ER algorithm. Based on the outputs of the ER approach, system operators can obtain an overall evaluation of the observed unit´s condition; also, several units may be ranked in order of severity for system maintenance purposes. It can be seen from the results developed that the ER approach is a suitable solution to tackle the MADM problem of transformer condition assessment.
Keywords :
case-based reasoning; condition monitoring; decision making; decision trees; power transformer protection; evidential reasoning approach; multiple-attribute decision-making solution; transformer condition assessment; Condition monitoring; Decision making; Dissolved gas analysis; Erbium; Fault diagnosis; Partial discharges; Power transformers; Programmable control; Testing; Uncertainty;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2003.822542