Power transformer fault diagnosis system based on expert database

Abstract

The invention discloses a power transformer fault diagnosis system based on an expert database, and belongs to the technical field of power safe operation. The power transformer fault diagnosis system comprises a wireless sensor subnet and data preprocessing and data display modules which are connected in turn. The wireless sensor subnet can realize real-time acquisition of dissolved gas in transformer oil by monitoring nodes which are equipped with sensors and arranged on a transformer. The data display module is used for displaying the real-time trend of power transformer parameters in the mode of a data table and a dynamic curve. The data display module is connected with a fault alarm module and a human-computer interaction interface. The operation situation of the transformer is monitored in real time by the sensors installed on the nodes of the power transformer, the operation parameters of the transformer are reasonably inferred by using an inference mechanism given by an expert system, and a possible fault type can be given when the fault occurs so that automatic fault diagnosis can be realized, and safe and stable operation of the power transformer can be realized.

Description

technical field [0001] The invention relates to the technical field of electric power safe operation, in particular to a power transformer fault diagnosis system based on an expert database. Background technique [0002] The power transformer is one of the important equipment in the power industry. Whether it can operate safely is related to the safety of the power system connected to it. Its work efficiency represents the financial income of the power department. In order to ensure the stable and safe operation of the power transformer, the traditional method is to It conducts regular preventive tests, such as insulation characteristic tests, withstand voltage tests, etc. Such a maintenance plan may usually produce the following situations: maintenance is carried out when no maintenance is required, which accelerates the aging and damage process of the equipment; when maintenance is required, the fault is aggravated due to failure to maintain the fixed maintenance cycle, re...

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Problems solved by technology

The voltage transformer has a complex structure and a wide variety of faults. According to common faults, it can be divided into short-circuit faults, discharge faults, insulation faults, iron core faults, tap changer faults and oil flow electrification faults. Many of them are difficult to express their models mathematically. Secondly, the operating environment, load nature and network structure of each operating transformer are different, and the probability of failure and the characteristics of the failure are also different, which increases the uncertain factors in the diagnosis process; in addition, the occurrence and development of failures often have a gradual process , which increases the complexity of its fault diagnosis, so that it often needs to rely on the experience of experts to solve it. Therefore, we propose a power transformer fault diagnosis system based on expert database and put it into use to solve the above problems

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