Transformer bushing state evaluation method

A transformer bushing and state evaluation technology, applied in the electric power field, can solve problems such as complex algorithms, unsuitable for engineering applications, and few researches
CN112163371AActive Publication Date: 2021-01-01SHANDONG ELECTRICAL ENG & EQUIP GRP
4 Cites 5 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG ELECTRICAL ENG & EQUIP GRP
Publication Date
2021-01-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a transformer bushing evaluation method, which fuses a plurality of indexes reflecting the state of a transformer bushing, comprehensively and comprehensively reflects the state of the bushing based on a fuzzy theory and a neural network algorithm, and introduces a variable weight and the neural network algorithm on the basis of fuzzy comprehensive evaluation. According tothe fuzzy control method, the limitation of conventional weight and the subjectivity of artificially determining the membership function are overcome, and the self-updating and self-adaption of the membership function are realized through neural network training, so that the fuzzy control has certain self-learning capability, and the evaluation result is more reliable.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of electric power technology, in particular to a transformer bushing state evaluation method. Background technique

[0002] The power transformer is one of the most important electrical equipment in the power system, and maintaining its normal operation is the basic guarantee for the reliable power supply of the entire system. At present, the status evaluation of the overall transformer can refer to the "Guidelines for the Status Evaluation of Oil-immersed Transformers". Experts and scholars at home and abroad have also proposed many evaluation methods based on mathematical theory and artificial intelligence algorithms. However, the power transformer itself is an extremely complex system, and there are many characteristic quantities representing the insulation state, and the state information is uncertain and fuzzy. It is very difficult to effectively and accurately evaluate the insulation state of the transformer as ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More