A cloud and evidential reasoning integrated model for insulation condition assessment of high voltage transformers

Power transformers of high voltage play a key role in the power transmission system. Statistics show that acquiring an accurate assessment of transformer insulation can avoid financial losses of electrical companies, because it can detect a potential failure and therefore decrease the risk of transformer failure. Condition assessment of transformers is full of uncertain, fuzzy and randomness information and can be considered as a multiple-attribute decision-making problem. Aiming at this problem, this study presents a cloud and evidential reasoning integrated approach for assessing the condition of transformers. Data from the main body, maintenance record and accessory were chosen to form the assessment index system. Analysis results show that the integrated approach is effective and provides some valuable information to the maintenance of high voltage transformer. Copyright (C) 2013 John Wiley & Sons, Ltd.