Condition diagnosis system for transformer fault types

Abstract

The invention specifically discloses a condition diagnosis system for transformer fault types, belonging to the technical field of condition monitoring and fault diagnosis of power equipment. The condition diagnosis system comprises an oil sample collection module, an oil-gas separation module, a gas separation module, a gas detection module, a data processing module and a data transmission module. The condition diagnosis system provided by the invention successfully realizes rapid, accurate and real-time detection of the composition and concentrations of dissolved gases in the insulating oil of a transformer, avoids the shortcoming of lack of monitoring means with long-term stability and credible precision in the operation and maintenance of the transformer, and provides reliable data for online evaluation and analysis of the operating state and remaining life of the transformer; and a sample retrieval algorithm based on Euclidean distance is innovatively introduced for identification of fault types, so the condition diagnosis system overcomes problems in fuzziness and applicability of data about dissolved gases in the insulating oil, is improved in accuracy and timeliness of fault recognition, and achieves the goal of comprehensive optimization of risks, efficiency and cost in power safety production.

Description

technical field [0001] The invention relates to the technical field of state monitoring and fault diagnosis of electric equipment, in particular to a state diagnosis system of a transformer fault type. Background technique [0002] Most transformers are oil-filled transformers, using insulating oil as the medium for insulation and heat dissipation. In actual operation, transformer insulating oil and solid insulating materials will gradually age, decompose, and produce characteristic gases dissolved in the oil under the action of electricity and heat. The amount in the insulating oil will increase, and the composition and content of the fault gas are closely related to the type and severity of the equipment fault. Therefore, monitoring the dissolved gas of the transformer insulating oil is one of the important means to monitor the operation of the transformer. It can help to detect early insulation defects in the transformer, and through timely fault diagnosis and status eva...

AI Technical Summary

Problems solved by technology

However, due to problems such as the actual faults of the equipment and the complex operating environment, incomplete knowledge of fault type discrimination, and fuzzy key fault information, the existing state monitoring devices for dissolved gases in insulating oil of transformers mainly realize the detection of characteristic gases in insulating oil and are not yet available. Ability to diagnose fault types

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