CN115683230B

CN115683230B - Method, device, equipment, medium and system for detecting faults of oil immersed transformer

Info

Publication number: CN115683230B
Application number: CN202211458657.3A
Authority: CN
Inventors: 韩金尅; 朱丽媛; 张建涛; 李志华; 杨星; 冯文晴; 陈文波; 陈乐新; 江峰; 李文庆
Original assignee: Guangdong Power Grid Co Ltd; Meizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Current assignee: Guangdong Power Grid Co Ltd; Meizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date: 2022-11-17
Filing date: 2022-11-17
Publication date: 2024-03-29
Anticipated expiration: 2042-11-17
Also published as: CN115683230A

Abstract

The invention discloses a fault detection method, device, equipment, medium and system for an oil immersed transformer. The method comprises the following steps: obtaining partial discharge signals, dissolved gas data and temperature data in a target oil immersed transformer and a photoelectric image of an inner cavity of the transformer; determining an upper limit evaluation value of the discharge quantity, an evaluation value of the pulse repetition rate and an evaluation value of the average discharge quantity according to the partial discharge signal; according to the dissolved gas data, the temperature data and the photoelectric image of the inner cavity of the transformer, respectively determining a dissolved gas proportion evaluation value, a temperature grade and an image gray scale parameter; and determining the fault type and the fault grade of the transformer according to the upper limit evaluation value of the discharge quantity, the pulse repetition rate evaluation value, the average discharge quantity evaluation value, the dissolved gas proportion evaluation value, the temperature grade, the image gray scale parameter and the fault evaluation mapping table. The technical scheme of the embodiment of the invention can enrich the dimension of the parameter of the characteristic quantity to be referred and improve the fault diagnosis effect of the oil immersed transformer.

Description

Method, device, equipment, medium and system for detecting faults of oil immersed transformer

Technical Field

The invention relates to the technical field of transformer fault detection, in particular to a method, a device, equipment, a medium and a system for detecting faults of an oil immersed transformer.

Background

The transformer is used as a junction device of the power system and plays roles of voltage change and electric energy conversion between power grids, and is one of the most important devices in the power system, so that the running reliability of the transformer directly influences the safety of the power system. The fault of the transformer is found in time, and the power accident caused by the transformer can be effectively prevented.

Oil-immersed power transformers are a common type of transformer that is insulated and heat dissipated with oil. The oil and the solid organic insulating material in the oil can be gradually aged and cracked into gas under the action of electricity, heat, oxygen, partial arc and other factors when the transformer operates. When there is latent local overheating or partial discharge inside the power transformer, the gas generation speed is increased. Thus, the power transformer can be monitored on-line by analyzing the dissolved gas in the oil.

However, when the existing method is used for judging the fault type, the related characteristic quantity parameters are fewer, and the given diagnosis result is not satisfactory.

Disclosure of Invention

The invention provides a fault detection method, device, equipment, medium and system for an oil-immersed transformer, and aims to solve the problems that parameters of a referential characteristic quantity are few and a fault diagnosis effect is poor when the oil-immersed transformer is subjected to fault judgment.

According to an aspect of the present invention, there is provided a fault detection method for an oil-immersed transformer, including:

obtaining partial discharge signals, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer in the target oil immersed transformer;

determining an upper limit evaluation value of the discharge quantity, an evaluation value of the pulse repetition rate and an evaluation value of the average discharge quantity according to the partial discharge signal;

determining a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data;

determining the temperature grade of the temperature rise position according to the temperature data of the temperature rise position, and determining the gray scale parameter of the image according to the photoelectric image of the inner cavity of the transformer;

and determining the fault type of the target oil-immersed transformer and the fault grade of the target oil-immersed transformer according to the upper limit evaluation value of the discharge quantity, the pulse repetition rate evaluation value, the average discharge quantity evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table.

According to another aspect of the present invention, there is provided an oil-immersed transformer fault detection apparatus, including:

the data acquisition module is used for acquiring partial discharge signals, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer in the target oil immersed transformer;

the first data determining module is used for determining an upper limit evaluation value of the discharge capacity, an evaluation value of the pulse repetition rate and an evaluation value of the average discharge capacity according to the partial discharge signal;

the second data determining module is used for determining a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data;

the third data determining module is used for determining the temperature grade of the temperature rising position according to the temperature data of the temperature rising position and determining the gray scale parameter of the image according to the photoelectric image of the inner cavity of the transformer;

the fault type and grade determining module is used for determining the fault type and the fault grade of the target oil-immersed transformer according to the upper limit evaluation value of the discharge capacity, the evaluation value of the pulse repetition rate, the evaluation value of the average discharge capacity, the evaluation value of the proportion of the target dissolved gas, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for detecting a fault in an oil-immersed transformer according to any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for detecting a fault of an oil-immersed transformer according to any one of the embodiments of the present invention when executed.

According to another aspect of the invention, there is provided an oil immersed transformer fault detection experiment system, which is characterized by comprising an experiment oil tank, a partial discharge detector, a photoacoustic spectrum detector, an infrared thermometer, a camera and a data processing module, wherein,

the experimental oil tank is used for simulating the faults of the transformer oil tank according to experimental preset data;

The partial discharge detector is used for collecting partial discharge signals of the experimental oil tank;

the photoacoustic spectrum detector is used for collecting oil tank dissolved gas data of an experimental oil tank;

the infrared thermometer is used for collecting temperature data of the experimental oil tank;

the camera is used for collecting photoelectric images of the inner cavity of the experimental oil tank;

the data processing module is used for creating a fault evaluation mapping table according to the experiment preset data, the partial discharge signal of the experiment oil tank, the oil tank dissolved gas data, the experiment oil tank temperature data and the photoelectric image of the inner cavity of the experiment oil tank.

According to the technical scheme, the partial discharge signal, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer are obtained, and then an upper limit evaluation value of the discharge amount, a pulse repetition rate evaluation value and an average discharge amount evaluation value are determined according to the partial discharge signal, so that a target dissolved gas proportion evaluation value is determined according to the transformer oil dissolved gas data, a temperature grade of the heating position is determined according to the temperature data of the heating position, and an image gray scale parameter is determined according to the photoelectric image of the inner cavity of the transformer, so that a fault type of the target oil immersed transformer and a fault grade of the target oil immersed transformer are determined according to the upper limit evaluation value of the discharge amount, the pulse repetition rate evaluation value, the average discharge amount evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table. According to the scheme, multidimensional feature extraction is carried out from the partial discharge signals, the transformer oil dissolved gas data, the temperature rise position temperature data and the transformer inner cavity photoelectric image, and the multidimensional feature extraction result is utilized for evaluation, so that the fault type and the fault level of the target oil-immersed transformer can be more accurately determined, the problem that in the prior art, due to the fact that the reference feature parameters are fewer, the fault diagnosis effect is poor is solved, the dimension of the reference feature parameters can be enriched, and the fault diagnosis effect of the oil-immersed transformer is improved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a fault detection method for an oil-immersed transformer according to a first embodiment of the present invention;

fig. 2 is a flowchart of a fault detection method for an oil-immersed transformer according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an oil immersed transformer fault detection device according to a third embodiment of the present invention;

FIG. 4 shows a schematic diagram of an electronic device that may be used to implement an embodiment of the invention

Fig. 5 is a schematic diagram of an experimental system for detecting faults of an oil immersed transformer according to a fifth embodiment of the present invention;

Fig. 6 is a schematic structural diagram of an experimental oil tank according to a fifth embodiment of the present invention;

FIG. 7a is a diagram of a pure oil gap electrode model according to a fifth embodiment of the present invention;

FIG. 7b is another illustration of a pure oil gap electrode model provided in accordance with a fifth embodiment of the present invention;

FIG. 7c is a diagram of yet another example of a pure oil gap electrode model according to a fifth embodiment of the present invention;

fig. 8a is a schematic diagram of an oilpaper insulated electrode model according to a fifth embodiment of the present invention;

FIG. 8b is another oilpaper insulated electrode model provided in embodiment five of the invention;

fig. 8c is a schematic diagram of another oiled paper insulated electrode model according to a fifth embodiment of the invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1 is a flowchart of a fault detection method for an oil-immersed transformer, which is provided in an embodiment of the present invention, and the present embodiment is applicable to accurately and efficiently determining a fault condition of the oil-immersed transformer. The electronic device may be a computer device or a server device, etc., as shown in fig. 1, the method comprises:

and 110, acquiring partial discharge signals, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer in the target oil immersed transformer.

The target oil-immersed transformer may be an oil-immersed transformer that needs to perform electrothermal anomaly detection currently. The partial discharge signal may be a signal generated when a discharge phenomenon occurs in a partial region of the insulator. The transformer oil dissolved gas data may be data characterizing the composition of dissolved gas in transformer oil of an oil immersed transformer. The elevated temperature location temperature data may be data characterizing an ambient temperature at the elevated temperature location. The transformer cavity photoelectric image may be a captured visible light image of the transformer cavity.

In the embodiment of the invention, partial discharge signals in the target oil immersed transformer can be detected through the partial discharge detector, transformer oil dissolved gas data can be obtained based on the photoacoustic spectrum detector, the temperature of the environment at the temperature rising position of the inner cavity of the target oil immersed transformer is measured through the temperature detector, temperature data of the temperature rising position can be obtained, and visible light of the inner cavity of the transformer can be shot through the camera, so that a photoelectric image of the inner cavity of the transformer can be obtained.

Optionally, if the discharge phenomenon occurs in the target oil-immersed transformer, the obtained partial discharge signal in the target oil-immersed transformer and the photoelectric image of the transformer cavity are not empty, and if the discharge phenomenon does not occur in the target oil-immersed transformer, the obtained partial discharge signal in the target oil-immersed transformer and the photoelectric image of the transformer cavity are empty.

Step 120, determining an upper limit evaluation value of the discharge amount, an evaluation value of the pulse repetition rate and an evaluation value of the average discharge amount according to the partial discharge signal.

The discharge amount upper limit evaluation value may be an evaluation value corresponding to a discharge amount maximum value of the partial discharge signal. The pulse repetition rate evaluation value may be an evaluation value corresponding to a pulse repetition rate in the partial discharge signal. The average discharge amount evaluation value may be an evaluation value corresponding to an average discharge amount of the partial discharge signal.

In the embodiment of the invention, the partial discharge signal in the target oil-immersed transformer can be subjected to feature extraction, so that the feature extraction result is evaluated, and the discharge capacity upper limit evaluation value, the pulse repetition rate evaluation value and the average discharge capacity evaluation value are obtained.

And 130, determining a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data.

The target dissolved gas proportion evaluation value may be an evaluation value corresponding to different volume ratios of dissolved gas in transformer oil of the target oil immersed transformer.

In the embodiment of the invention, the evaluation values corresponding to the different dissolved gas volume ratios in the transformer oil can be preset, and then the evaluation value of the target dissolved gas ratio is determined according to the transformer oil dissolved gas data and the preset evaluation values corresponding to the different dissolved gas volume ratios.

And 140, determining the temperature grade of the temperature rising position according to the temperature data of the temperature rising position, and determining the gray scale parameter of the image according to the photoelectric image of the inner cavity of the transformer.

The temperature-raising position temperature level may be a level of a temperature zone corresponding to the temperature-raising position temperature data. By way of example, the temperature-increasing location temperature levels may include, but are not limited to, 5 levels. For example, 75-85 ℃ corresponds to level 0 of the temperature level of the warm-up location, greater than 85 ℃ less than 150 ℃ corresponds to level 1 of the temperature level of the warm-up location, 150-300 ℃ corresponds to level 2 of the temperature level of the warm-up location, 300-700 ℃ corresponds to level 3 of the temperature level of the warm-up location, greater than 700 ℃ corresponds to level 4 of the temperature level of the warm-up location. The embodiment of the invention does not limit the specific grade number of the temperature grade at the temperature rising position and the temperature corresponding to each grade. The image gray scale parameter may be an image region of visible light in the transformer cavity photo-electric image, and an evaluation parameter corresponding to a ratio of the complete transformer cavity photo-electric image region.

In the embodiment of the invention, an evaluation value corresponding to a preset temperature interval and an evaluation parameter corresponding to the ratio of a visible light image area to a complete transformer cavity photoelectric image area can be preset, so that the temperature grade of a heating position is determined according to the evaluation value corresponding to the preset temperature interval and temperature data of the heating position, and further, an image gray scale parameter is determined according to the evaluation parameter corresponding to the ratio of the visible light image area to the complete transformer cavity photoelectric image area in the transformer cavity photoelectric image and the ratio of the visible light image area to the complete transformer cavity photoelectric image area in the transformer cavity photoelectric image.

And 150, determining the fault type of the target oil-immersed transformer and the fault grade of the target oil-immersed transformer according to the upper limit evaluation value of the discharge quantity, the pulse repetition rate evaluation value, the average discharge quantity evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table.

The fault evaluation mapping table may be a mapping table for performing fault discrimination on the oil-immersed transformer. The target oil-immersed transformer fault type may be an electrothermal anomaly class of the oil-immersed transformer. The target oil-immersed transformer fault level may be a fault level of the oil-immersed transformer. Alternatively, the target oil immersed transformer fault type may include, but is not limited to, an electrical fault type, a thermal fault type, an electrothermal composite fault type, and the like. The target oil immersed transformer fault level may include, but is not limited to, normal, general, medium, and severe.

In the embodiment of the invention, the fault evaluation mapping table can be created in an experiment mode and the like, and the fault evaluation mapping table is referred to, so that data matching is carried out on the upper limit evaluation value of the discharge capacity, the pulse repetition rate evaluation value, the average discharge capacity evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position and the image gray scale parameter, the fault type of the target oil-immersed transformer and the fault grade of the target oil-immersed transformer are determined, and further, the fault type of the target oil-immersed transformer and the fault grade of the target oil-immersed transformer are subjected to data reporting, so that operation and maintenance personnel can conveniently remove faults of the transformer in time.

Example two

Fig. 2 is a flowchart of a fault detection method for an oil-immersed transformer according to a second embodiment of the present invention, which is embodied based on the foregoing embodiment, and provides a specific alternative implementation manner of determining an upper discharge capacity evaluation value, a pulse repetition rate evaluation value, and an average discharge capacity evaluation value according to a partial discharge signal. As shown in fig. 2, the method includes:

and 210, acquiring partial discharge signals, transformer oil dissolved gas data, temperature rise position temperature data and a photoelectric image of an inner cavity of the transformer in the target oil immersed transformer.

Step 220, obtaining a partial discharge evaluation mapping table.

The partial discharge evaluation mapping table may be a data table for evaluating the characteristics extracted from the partial discharge signal, and is used for determining an upper discharge capacity limit evaluation value, a pulse repetition rate evaluation value and an average discharge capacity evaluation value.

In the embodiment of the invention, in order to digitize the extracted characteristics of the partial discharge signal, a partial discharge evaluation mapping table is created.

Step 230, determining a target upper limit of the discharge capacity, a target pulse repetition rate and a target average discharge capacity of the target oil-immersed transformer according to the partial discharge signal.

The target upper limit of the discharge amount may be the maximum discharge amount of the target oil-immersed transformer during partial discharge, that is, the maximum discharge amount corresponding to the partial discharge signal. The target average discharge amount may be a discharge amount average value at the time of partial discharge of the target oil-immersed transformer, that is, an average discharge amount corresponding to the partial discharge signal. The target pulse repetition rate may be a pulse repetition rate at the time of partial discharge of the target oil-immersed transformer, that is, a pulse repetition rate corresponding to the partial discharge signal.

In the embodiment of the invention, the signal analysis and the characteristic extraction can be carried out on the local discharge signal to obtain the target upper limit of the discharge capacity, the target pulse repetition rate and the target average discharge capacity of the target oil-immersed transformer.

And 240, determining an upper limit evaluation value, a pulse repetition rate evaluation value and an average discharge capacity evaluation value according to the target upper limit of the discharge capacity, the target pulse repetition rate, the target average discharge capacity and the partial discharge evaluation mapping table of the target oil-immersed transformer.

In the embodiment of the invention, the upper limit evaluation value of the discharge capacity can be determined according to the upper limit of the target discharge capacity of the target oil-immersed transformer and the partial discharge evaluation mapping table, the evaluation value of the pulse repetition rate is determined according to the target pulse repetition rate of the target oil-immersed transformer and the partial discharge evaluation mapping table, and the evaluation value of the average discharge capacity is determined according to the target average discharge capacity and the partial discharge evaluation mapping table.

Optionally, the upper discharge amount evaluation value may be determined according to an evaluation value corresponding to a maximum discharge amount evaluation interval preset in the partial discharge evaluation mapping table and an upper target discharge amount limit, the pulse repetition rate evaluation value may be determined according to an evaluation value corresponding to a pulse repetition rate evaluation interval preset in the partial discharge evaluation mapping table and a target pulse repetition rate, and the average discharge amount evaluation value may be determined according to an evaluation value corresponding to an average discharge amount evaluation interval preset in the partial discharge evaluation mapping table and a target average discharge amount.

Step 250, determining a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data.

In an alternative embodiment of the present invention, determining the target dissolved gas ratio evaluation value based on the transformer oil dissolved gas data may include: acquiring a target dissolved gas proportion evaluation mapping table; determining a target dissolved gas volume ratio according to the transformer oil dissolved gas data; and determining a target dissolved gas proportion evaluation value according to the target dissolved gas volume ratio and the target dissolved gas proportion evaluation mapping table.

Wherein, the target dissolved gas proportion evaluation mapping table can be the number of dissolved gases of transformer oil Data table from which the evaluation was made. Alternatively, the target dissolved gas proportion evaluation map may be determined by a method such as a test. The target dissolved gas volume ratio may be a volume ratio of different dissolved gases in transformer oil of the target oil immersed transformer. Exemplary, target dissolved gas volume ratios may include, but are not limited to, C ₂ H ₂ /C ₂ H ₄ ,CH ₄ /H ₂ ,C ₂ H ₄ /C ₂ H ₆ 。

In the embodiment of the invention, the target dissolved gas proportion evaluation mapping table can be obtained, the data of the dissolved gas of the transformer oil is analyzed, the volume ratio of different gases dissolved in the transformer oil is calculated to obtain the target dissolved gas volume ratio, and the data of the target dissolved gas volume ratio and the target dissolved gas proportion evaluation mapping table are matched to obtain the target dissolved gas proportion evaluation value.

In an alternative embodiment of the present invention, obtaining the target dissolved gas ratio estimation map may include: determining target inner cavity insulation material data of a target oil immersed transformer; and acquiring a target dissolved gas proportion evaluation mapping table according to the target inner cavity insulation material data of the target oil immersed transformer.

The target cavity insulating material data may be data describing a cavity insulating material of the target oil-immersed transformer. The target lumen insulation material data may include, but is not limited to, transformer oil category (mineral oil or vegetable oil, etc.), transformer oil volume, etc.

In the embodiment of the invention, the target inner cavity insulation material data of the target oil-immersed transformer and the model of the target oil-immersed transformer can be determined first, so that the type of gas released by the target oil-immersed transformer in the electric heating fault is determined according to the target inner cavity insulation material data and the model of the target oil-immersed transformer, and the target dissolved gas proportion evaluation mapping table matched with the type of gas released by the target oil-immersed transformer in the electric heating fault is determined according to the type of gas released by the target oil-immersed transformer in the electric heating fault.

Step 260, determining temperature grade of the temperature rising position according to the temperature data of the temperature rising position, and determining image gray scale parameters according to the photoelectric image of the inner cavity of the transformer.

In an alternative embodiment of the present invention, determining the temperature level of the heating location according to the temperature data of the heating location, and determining the gray scale parameter of the image according to the photoelectric image of the cavity of the transformer may include: acquiring a temperature grade mapping table and an image gray level evaluation mapping table; determining the temperature grade of the heating position according to the temperature grade mapping table and the temperature data of the heating position; and determining the image gray scale parameters according to the image gray scale evaluation mapping table and the photoelectric image of the inner cavity of the transformer.

The temperature level mapping table may be a data table representing a mapping relationship between a temperature interval and a temperature level. The image gray scale evaluation mapping table may be a data table for evaluating the photoelectric image of the transformer cavity, and is used for determining an image gray scale parameter corresponding to the photoelectric image of the transformer cavity. Alternatively, the temperature level mapping table and the image gray level evaluation mapping table may be obtained through experiments or the like.

In the embodiment of the invention, a temperature grade mapping table and an image gray scale evaluation mapping table can be created, and then the temperature data of the temperature rising position and the temperature grade mapping table are subjected to data matching to obtain the temperature grade of the temperature rising position, and the ratio of the visible light image area in the photoelectric image of the inner cavity of the transformer to the whole area of the photoelectric image of the inner cavity of the transformer can be subjected to data matching with the image gray scale evaluation mapping table to obtain the image gray scale parameters.

And 270, determining the fault type of the target oil-immersed transformer and the fault level of the target oil-immersed transformer according to the upper limit evaluation value of the discharge amount, the pulse repetition rate evaluation value, the average discharge amount evaluation value, the target dissolved gas proportion evaluation value, the temperature level of the heating position, the image gray scale parameter and the fault evaluation mapping table.

According to the technical scheme, the partial discharge signal, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer are obtained, and then the partial discharge evaluation mapping table is obtained, so that the target upper limit of the discharge capacity, the target pulse repetition rate and the target average discharge capacity of the target oil-immersed transformer are determined according to the partial discharge signal, the upper limit of the discharge capacity, the target pulse repetition rate, the target average discharge capacity and the partial discharge evaluation mapping table of the target oil-immersed transformer are determined, the evaluation value of the upper limit of the discharge capacity, the evaluation value of the pulse repetition rate and the evaluation value of the average discharge capacity are determined, the evaluation value of the target dissolved gas proportion is determined according to the transformer oil dissolved gas data, the evaluation value of the target dissolved gas proportion is determined according to the temperature data of the heating position, the temperature grade of the heating position is determined according to the photoelectric image of the inner cavity of the transformer, the image gray scale parameters are determined, and the fault type of the target oil-immersed transformer and the fault grade of the target oil-immersed transformer are determined according to the evaluation value of the upper limit of the discharge capacity, the pulse repetition rate, the evaluation value of the average discharge capacity, the evaluation value of the target dissolved gas proportion, the temperature evaluation value of the heating position temperature grade, the temperature grade of the image parameters and the fault evaluation mapping table.

According to the scheme, multidimensional feature extraction is carried out from the partial discharge signals, the transformer oil dissolved gas data, the temperature rise position temperature data and the transformer inner cavity photoelectric image, and the multidimensional feature extraction result is utilized for evaluation, so that the fault type and the fault level of the target oil-immersed transformer can be more accurately determined, the problem that in the prior art, due to the fact that the reference feature parameters are fewer, the fault diagnosis effect is poor is solved, the dimension of the reference feature parameters can be enriched, and the fault diagnosis effect of the oil-immersed transformer is improved.

Example III

Fig. 3 is a schematic structural diagram of an oil immersed transformer fault detection device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: a data acquisition module 310, a first data determination module 320, a second data determination module 330, a third data determination module 340, and a fault type and level determination module 350, wherein,

the data acquisition module 310 is used for acquiring partial discharge signals, transformer oil dissolved gas data, temperature data of a heating position and a photoelectric image of an inner cavity of the transformer in the target oil immersed transformer;

a first data determining module 320, configured to determine an upper discharge amount estimation value, a pulse repetition rate estimation value, and an average discharge amount estimation value according to the partial discharge signal;

A second data determining module 330, configured to determine a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data;

the third data determining module 340 is configured to determine a temperature level at the heating position according to the temperature data at the heating position, and determine an image gray scale parameter according to the photoelectric image of the inner cavity of the transformer;

the fault type and grade determining module 350 is configured to determine a fault type of the target oil-immersed transformer and a fault grade of the target oil-immersed transformer according to the discharge amount upper limit evaluation value, the pulse repetition rate evaluation value, the average discharge amount evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table.

Optionally, the first data determining module 320 is specifically configured to obtain a partial discharge evaluation mapping table; determining a target upper limit of the discharge capacity, a target pulse repetition rate and a target average discharge capacity of the target oil-immersed transformer according to the partial discharge signal; and determining the upper limit evaluation value, the pulse repetition rate evaluation value and the average discharge capacity evaluation value according to the target upper limit of the discharge capacity of the target oil-immersed transformer, the target pulse repetition rate, the target average discharge capacity and the partial discharge evaluation mapping table.

Optionally, the second data determining module 330 includes a dissolved gas proportion evaluation mapping table obtaining unit and a target dissolved gas proportion evaluation value determining unit, where the dissolved gas proportion evaluation mapping table obtaining unit is configured to obtain the target dissolved gas proportion evaluation mapping table. The target dissolved gas proportion evaluation value determining unit is used for determining a target dissolved gas volume ratio according to the transformer oil dissolved gas data; and determining the target dissolved gas proportion evaluation value according to the target dissolved gas volume ratio and the target dissolved gas proportion evaluation mapping table.

Optionally, the dissolved gas proportion evaluation mapping table obtaining unit is used for determining target inner cavity insulation material data of the target oil immersed transformer; and acquiring a target dissolved gas proportion evaluation mapping table according to the target inner cavity insulation material data of the target oil immersed transformer.

Optionally, the third data determining module 340 is specifically configured to obtain a temperature level mapping table and an image gray level evaluation mapping table; determining the temperature grade of the heating position according to the temperature grade mapping table and the temperature data of the heating position; and determining the image gray scale parameters according to the image gray scale evaluation mapping table and the photoelectric image of the transformer inner cavity.

The fault detection device for the oil-immersed transformer provided by the embodiment of the invention can execute the fault detection method for the oil-immersed transformer provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example IV

Fig. 4 shows a schematic diagram of the structure of an electronic device that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the oil-immersed transformer fault detection method.

In some embodiments, the oil-immersed transformer fault detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described method of detecting a fault in an oil-immersed transformer may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the oil-immersed transformer fault detection method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially or in a different order, provided that the desired results of the technical solution of the present invention are achieved, and are not limited herein

Example five

Fig. 5 is a schematic diagram of an experimental system for detecting faults of an oil-immersed transformer, which is provided in a fifth embodiment of the present invention, as shown in fig. 5, where the experimental system for detecting faults of an oil-immersed transformer includes an experimental oil tank, a partial discharge detector, a photoacoustic spectrum detector, an infrared thermometer, a camera and a data processing module.

The experimental oil tank can be used for simulating the faults of the transformer oil tank according to experimental preset data; the partial discharge detector can be used for collecting partial discharge signals of an experimental oil tank. The photoacoustic spectrum detector can be used for collecting oil tank dissolved gas data of an experimental oil tank. The infrared thermometer can be used for collecting temperature data of an experimental oil tank. The camera can be used for collecting photoelectric images of the inner cavity of the experimental oil tank. The data processing module can be used for creating the fault evaluation mapping table in any embodiment according to the experiment preset data, the partial discharge signal of the experiment oil tank, the oil tank dissolved gas data, the experiment oil tank temperature data and the photoelectric image of the inner cavity of the experiment oil tank.

The experimental oil tank can be an oil tank with discharging and heating functions. The experiment preset data may be data for guiding a fault detection experiment of the oil-immersed transformer. The experimental preset data may include, but is not limited to, specific magnitudes of simulated partial discharge signals in the experimental tank, heating temperature values, and the like. The photoacoustic spectrum detector can irradiate the parabolic mirror by a designed characteristic light source, reflected light obtained by reflection and focusing is converted into intermittent light through a chopping disk with adjustable rotating speed, the intermittent light enters the photoacoustic chamber after passing through the optical filter, and pressure waves with corresponding intensity are excited after meeting with gaseous samples which also enter the photoacoustic chamber, so that the components and the content of gas are obtained. The infrared thermometer can measure the oil temperature on the surface and inside of the experimental oil tank. For example, an infrared thermometer may use short wave infrared light that is transmitted through the glass to optionally measure the temperature at any point on or within the test tank. The tank dissolved gas data may be data describing dissolved gas in an experimental tank. The experimental tank temperature data may be representative of experimental tank temperature data. The photoelectric image of the inner cavity of the experimental oil tank can be the experimental oil tank.

Specifically, the size of a partial discharge signal simulated in the experimental oil tank, the numerical value of the heating temperature and the like can be determined according to experimental preset data, when a transformer oil tank fault is simulated in the experimental oil tank according to the experimental preset data, the partial discharge signal of the experimental oil tank can be collected through a partial discharge detector, the tank dissolved gas data of the experimental oil tank can be collected based on a photoacoustic spectrum detector, the experimental oil tank temperature data can be collected through an infrared thermometer, an inner cavity photoelectric image of the experimental oil tank can be shot through a camera, the partial discharge signal of the experimental oil tank, the tank dissolved gas data, the experimental oil tank temperature data and the inner cavity photoelectric image of the experimental oil tank can be obtained through a data processing module, and a fault evaluation mapping table can be created according to the fault type and the fault level determined by the experimental preset data.

In an alternative embodiment of the invention, the experimental tank may comprise a discharge model, a heater and a circulating oil pump, wherein the discharge model may be used to generate a partial discharge signal within the experimental tank; the discharge model may include a pure oil gap electrode model and an oil paper insulated electrode model, among others. The heater can be used for heating the temperature of the experimental oil tank. The circulating oil pump can be used for circulating the experimental oil tank.

Optionally, the discharge model is a device simulating a partial discharge phenomenon. The heater may be any heating device such as a flanged heating tube or the like.

Alternatively, the upper cover of the experimental oil tank may be provided with a high-voltage bushing for insulation protection and fixed connection between the external conductors, and the specific structural schematic diagram is shown in fig. 6.

In a specific example, the steps of the fault detection experiment of the oil-immersed transformer are as follows:

step 1: the type and technical parameters of the insulating material (oil) in the experimental oil tank are obtained.

Step 2: according to experimental preset data, determining discharge models such as needle-plate electrodes, column-plate electrodes, plate-plate electrodes, ball-plate electrodes and the like and the inter-electrode distance, applying voltages to two ends of the electrodes, and simultaneously controlling the temperature of the inter-electrode area.

Step 3: and collecting partial discharge signals of the experimental oil tank, oil tank dissolved gas data, electrode position temperature data (or experimental oil tank temperature data) of the experimental oil tank and photoelectric images of the inner cavity of the experimental oil tank.

Step 4: and extracting the characteristic quantity of the obtained partial discharge signal to obtain a characteristic extraction result (maximum discharge quantity, pulse repetition rate and average discharge quantity), and evaluating the characteristic extraction result.

Step 5: analyzing the acquired oil tank dissolved gas data, and calculating to obtain ratio information among different characteristic gases.

Step 6: and grading the obtained electrode position temperature data of the experimental oil tank according to the corresponding temperatures.

Step 7: and performing image processing on the photoelectric image in the inner cavity of the experimental oil tank, extracting brightness information and determining codes corresponding to the visible light parameters.

Step 8: and (3) comprehensively judging the defect degree in the transformer oil according to the four different criterion parameters obtained in the steps 4-7, and creating a fault evaluation mapping table.

In the step 1, the type and technical parameters of the obtained insulating material include parameters such as the type (mineral oil or vegetable oil), model, volume and the like of oil in an experimental oil tank.

In the step 2, the electrode material is brass except that the needle electrode is carbon steel. The setting of the inter-electrode distance comprises setting a long gap and a short gap for each electrode discharge model, wherein the electrode distance is set to be 2mm or more by simulating the long gap and the electrode distance is set to be 1mm by simulating the short gap. The pure oil gap electrode model includes three types of fig. 7a, 7b and 7c, and the oilpaper insulation electrode model includes three types of fig. 8a, 8b and 8 c. Applying a voltage across the electrode, comprising: the voltage is applied gradually from low to high in the discharge energy between the electrodes, the temperature of the region between the electrodes is set to be a normal temperature at 75 ℃, and the temperature of the region between the electrodes is heated to be a target temperature according to different degrees of thermal faults.

In step 3, collecting partial discharge signals of the experimental oil tank, oil tank dissolved gas data, electrode position temperature data and photoelectric images of the inner cavity of the experimental oil tank, wherein the partial discharge signals, the oil tank dissolved gas data, the electrode position temperature data and the photoelectric images of the inner cavity of the experimental oil tank are respectively obtained through a partial discharge detector, a photoacoustic spectrum detector, an infrared thermometer and a high-precision image sensor (camera).

In step 4, the feature extraction results of the partial discharge signal include three feature extraction results of maximum discharge amount (first type feature extraction result), pulse repetition rate (second type feature extraction result) and average discharge amount (third type feature extraction result). Referring to table 1: the maximum discharge is less than 1×10 ³ pC is set to 1, and the maximum discharge amount is 1×10 ³ pC and 2X 10 ⁴ When pC is between, the value is set to 2, and when the maximum discharge amount is more than 2X 10 ⁴ When pC, the value is set to 3; the pulse repetition rate is less than 50 times/s, the value is set to 1, when the pulse repetition rate is between 50 times/s and 500 times/s, the value is set to 2, and when the pulse repetition rate is more than 500 times/s, the value is set to 3; the average discharge amount was set to 1 when the average discharge amount was between 200pC and 600pC, 2 when the average discharge amount was higher than 600pC, and 3 when the average discharge amount was higher than 200 pC.

Table 1 partial discharge evaluation map table

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In step 5, the tank dissolved gas data is analyzed, specifically, the composition components of the main gas and the secondary gas in the tank dissolved gas data and the total hydrocarbon content are analyzed. The method specifically comprises the following steps: calculating the ratio of different characteristic gases, which can include C ₂ H ₂ /C ₂ H ₄ 、CH ₄ /H ₂ And C ₂ H ₄ /C ₂ H ₆ And three ratios were evaluated according to table 2.

Table 2 target dissolved gas ratio evaluation map

In step 6, the electrode position temperature data is classified, specifically, classified according to table 3.

Table 3 temperature level mapping table

Maximum temperature between electrodes/. Degree.C	Heat level
		75-85	0
Less than 150 DEG C	1
		150 ℃ or higher and 300 ℃ or lower	2
More than or equal to 300 ℃ and less than 700 DEG C	3
		≥700℃	4

In step 7, extracting image brightness characteristics (gray scale) of the obtained photoelectric image of the inner cavity of the experimental oil tank, and setting visible light image parameters, wherein the specific method comprises the following steps: by performing image processing on the photoelectric image of the inner cavity of the experimental oil tank, the evaluation value of the photoelectric image of the inner cavity of the experimental oil tank is determined according to table 4. For example, if the ratio of the brightness area to the whole area is less than 1/16, the image gray scale parameter is set to 1; if the ratio is between 1/16 and 1/4, the image gray scale parameter is 2; if the ratio is between 1/4 and 1/2, the image gray scale parameter is 3.

TABLE 4 image Gray Scale evaluation mapping table

Ratio of brightness area to total area	Evaluation value
		Less than 1/16	1
Greater than or equal to 1/16 and less than 1/4	2
		Greater than or equal to 1/4 and less than 1/2	3

In step 8, according to the four parameters obtained in step 4-7, setting the fault type and severity classification of the transformer, wherein the specific method comprises the following steps: assuming that the electric fault is a class I defect, the thermal fault is a class II defect, the electrothermal composite fault is a class III defect, and the severity of the defects is set as a unified standard, namely four grades are provided: normal, medium, severe are represented by the english letters D0, D1, D2, D3 in sequence. The defect type and extent were judged using table 5.

Table 5 fault assessment mapping table

Wherein X represents any value,/represents or.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. The fault detection method for the oil immersed transformer is characterized by comprising the following steps of:

determining a target oil-immersed transformer fault type and a target oil-immersed transformer fault level according to the discharge amount upper limit evaluation value, the pulse repetition rate evaluation value, the average discharge amount evaluation value, the target dissolved gas proportion evaluation value, the temperature level of the heating position, the image gray scale parameter and a fault evaluation mapping table;

the determining, according to the partial discharge signal, a discharge amount upper limit evaluation value, a pulse repetition rate evaluation value, and an average discharge amount evaluation value includes:

obtaining a partial discharge evaluation mapping table; determining a target upper limit of the discharge capacity, a target pulse repetition rate and a target average discharge capacity of the target oil-immersed transformer according to the partial discharge signal; determining the upper limit evaluation value, the pulse repetition rate evaluation value and the average discharge capacity evaluation value according to the target upper limit of the discharge capacity of the target oil-immersed transformer, the target pulse repetition rate, the target average discharge capacity and the partial discharge evaluation mapping table;

The determining a target dissolved gas proportion evaluation value according to the transformer oil dissolved gas data comprises the following steps:

acquiring a target dissolved gas proportion evaluation mapping table; determining a target dissolved gas volume ratio according to the transformer oil dissolved gas data; determining the target dissolved gas proportion evaluation value according to the target dissolved gas volume ratio and the target dissolved gas proportion evaluation mapping table;

the step of determining the temperature grade of the temperature rising position according to the temperature data of the temperature rising position and determining the image gray scale parameter according to the photoelectric image of the inner cavity of the transformer comprises the following steps:

acquiring a temperature grade mapping table and an image gray level evaluation mapping table; determining the temperature grade of the heating position according to the temperature grade mapping table and the temperature data of the heating position; and determining the image gray scale parameters according to the image gray scale evaluation mapping table and the photoelectric image of the transformer inner cavity.

2. The method of claim 1, wherein the obtaining a target dissolved gas ratio estimation map comprises:

determining target inner cavity insulation material data of the target oil immersed transformer;

and acquiring a target dissolved gas proportion evaluation mapping table according to the target inner cavity insulation material data of the target oil immersed transformer.

3. An oil immersed transformer fault detection device, characterized by comprising:

the first data determining module is used for determining a discharge capacity upper limit evaluation value, a pulse repetition rate evaluation value and an average discharge capacity evaluation value according to the partial discharge signals;

the fault type and grade determining module is used for determining a fault type of the target oil-immersed transformer and a fault grade of the target oil-immersed transformer according to the upper limit evaluation value of the discharge capacity, the pulse repetition rate evaluation value, the average discharge capacity evaluation value, the target dissolved gas proportion evaluation value, the temperature grade of the heating position, the image gray scale parameter and the fault evaluation mapping table;

The first data determining module is specifically configured to obtain a partial discharge evaluation mapping table; determining a target upper limit of the discharge capacity, a target pulse repetition rate and a target average discharge capacity of the target oil-immersed transformer according to the partial discharge signal; determining an upper limit evaluation value of the discharge capacity, an evaluation value of the pulse repetition rate and an evaluation value of the average discharge capacity according to the upper limit of the target discharge capacity, the target pulse repetition rate, the target average discharge capacity and the partial discharge evaluation mapping table of the target oil-immersed transformer;

the second data determining module comprises a dissolved gas proportion evaluation mapping table obtaining unit and a target dissolved gas proportion evaluation value determining unit, wherein the dissolved gas proportion evaluation mapping table obtaining unit is used for obtaining a target dissolved gas proportion evaluation mapping table; the target dissolved gas proportion evaluation value determining unit is used for determining a target dissolved gas volume ratio according to the transformer oil dissolved gas data; determining the target dissolved gas proportion evaluation value according to the target dissolved gas volume ratio and the target dissolved gas proportion evaluation mapping table;

The third data determining module is specifically configured to obtain a temperature level mapping table and an image gray level evaluation mapping table; determining the temperature grade of the heating position according to the temperature grade mapping table and the temperature data of the heating position; and determining the image gray scale parameters according to the image gray scale evaluation mapping table and the photoelectric image of the transformer inner cavity.

4. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the oil-immersed transformer fault detection method of any one of claims 1-2.

5. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the oil immersed transformer fault detection method of any one of claims 1-2 when executed.

6. The fault detection experiment system for the oil immersed transformer is characterized by comprising an experiment oil tank, a partial discharge detector, a photoacoustic spectrum detector, an infrared thermometer, a camera and a data processing module, wherein,

the data processing module is configured to create a fault evaluation mapping table in the fault detection method of the oil immersed transformer according to preset experimental data, partial discharge signals of the experimental oil tank, dissolved gas data of the oil tank, temperature data of the experimental oil tank and photoelectric images of an inner cavity of the experimental oil tank.

7. The system of claim 6, wherein the experimental oil tank comprises a discharge model, a heater, and a circulating oil pump; wherein,

the discharge model is used for generating partial discharge signals in the experimental oil tank; the discharge model comprises a pure oil gap electrode model and an oil paper insulating electrode model;

the heater is used for heating the temperature of the experimental oil tank;

The circulating oil pump is used for circulating the experimental oil tank.