| Electric power industry is the main support industry of economic development in China. In recent years with the rapid growth of China economy, the scale of the national power grid is becoming more and more big, so the demand of stable and safe operation of power grid is becoming more and more high. Power transformer is the key part in power system, and played a step-up step-down role in the power system, whether it is running stability is directly related to the safety of the power grid. The condition evaluation and fault diagnosis of transformers, it can give us more knowledge of transformer running state, it can also take measures to ensure the stable operation of power grid in time.Further study of the transformer condition evaluation theory, Based on the theory of fuzzy comprehensive evaluation, building contains many kind of three-level evaluation index system of evaluation factors. Choose the analytic hierarchy process (AHP) to determine the weight of each evaluation index. Considering multiple experts give inconsistent weights, use an improved analytic hierarchy process (AHP) to adjust the weight matrix, satisfy the consistency test and verify.In transformer fault diagnosis model, first of all, classify fault modes according to the structure of the transformer, then get the basic characteristic of fault diagnosis by combining the detection of fault symptom and its corresponding collection project. In this paper, According to the ideas of the reasoning machine, built a model of transformer fault diagnosis based on confidence. At last achieve comprehensive function of fault diagnosis of transformer.Finally, according to the evaluation model and the fault diagnosis model of transformer witch built in former pages, designed the transformer condition evaluation and fault diagnosis system design of the system. |
