Transformer fault diagnosis method based on case-based reasoning

Abstract

The invention discloses a transformer fault diagnosis method based on case-based reasoning. The implementation steps includes: (1), establishing a fault case base; (2), retrieving fault cases; (3), maintaining a transformer; (4), judging whether a fault case concentrated repair scheme can solve transformer faults, if not, turning to a step (5), and otherwise, turning to a step (9); (5), revising the fault cases; (6), maintaining the transformer by maintenance personnel through using a revised maintenance scheme; (7), judging whether the revised maintenance scheme can solve the transformer faults, if can, turning to a step (8), and otherwise, the step (5) is actuated; (8), updating the fault case base; and (9), learning the fault cases. According to the transformer fault diagnosis method based on the case-based reasoning, a fault case reversing and learning strategy idea is applied to the transformer fault diagnosis method, and compared with a prior transformer fault diagnosis method, the transformer fault diagnosis method has more strong adaptability and higher case retrieval efficiency.

Description

technical field [0001] The invention belongs to the field of electric power technology, and further relates to a transformer fault diagnosis method based on case reasoning applied in the field of electric power by artificial intelligence fault diagnosis technology. The invention can be used for judgment, identification and detection of transformer faults, and better assists fault diagnosis and maintenance of transformers. Background technique [0002] At present, in the field of transformer maintenance, traditional fault diagnosis mostly adopts RBR (rule based reasoning, rule-based reasoning), MBR (model based reasoning, mode reasoning) expert system technology. Since these traditional expert systems are based on model-driven (model-based diagnostic methods use deep knowledge such as the structure, behavior and function models of the diagnostic object for diagnostic reasoning), in terms of model construction, information acquisition, and information processing There are ser...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the maintenance of the transformer case library is difficult, which affects the efficiency of retrieving transformer fault cases, and the limited knowledge stored in the transformer case library is not enough to solve the actual transformer fault.

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