CN111308250A - Transformer fault diagnosis method and device based on vibration lines - Google Patents
Transformer fault diagnosis method and device based on vibration lines Download PDFInfo
- Publication number
- CN111308250A CN111308250A CN202010195871.9A CN202010195871A CN111308250A CN 111308250 A CN111308250 A CN 111308250A CN 202010195871 A CN202010195871 A CN 202010195871A CN 111308250 A CN111308250 A CN 111308250A
- Authority
- CN
- China
- Prior art keywords
- transformer
- vibration
- healthy
- detection
- detection point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Abstract
The invention relates to a transformer fault diagnosis method and device based on vibration striations, wherein the transformer fault diagnosis method based on vibration striations comprises the following steps: acquiring healthy vibration lines and inspection vibration lines of the transformer; calculating the confidence coefficient between the inspection vibration line and the healthy vibration line; and judging whether the transformer fails or not according to the confidence coefficient. The method can effectively avoid misjudgment caused by magnitude change due to load change, thereby realizing accurate, stable and reliable monitoring of the transformer.
Description
Technical Field
The invention relates to the technical field of fault diagnosis, in particular to a transformer fault diagnosis method and device based on vibration fringes.
Background
The power equipment is one of the most important devices in modern industrial production, and once the equipment fails, the whole system can be broken down, so that the economic loss is caused. In recent years, condition monitoring has been increasingly emphasized in power systems, and many condition monitoring methods such as vibration analysis, gas in oil analysis, partial discharge detection, and the like have been proposed for different power devices in power systems.
For the condition monitoring of the transformer, the vibration signal of the surface of the transformer oil tank is closely related to the mechanical conditions of the internal winding and the iron core, so that the measurement and characteristic analysis of the vibration signal of the surface of the transformer oil tank are one of the important means for diagnosing the mechanical fault of the transformer. The traditional single-point measurement method is influenced by the inherent modal characteristics of the transformer oil tank, so that the picked vibration signals have great difference due to different measuring point positions and can change along with the fluctuation of normal working conditions, and the fault monitoring is inaccurate.
Disclosure of Invention
Therefore, it is necessary to provide a transformer fault diagnosis method and apparatus based on chatter marks to solve the problem of inaccurate fault monitoring in the current single-point measurement method.
A transformer fault diagnosis method based on vibration lines comprises the following steps:
acquiring healthy vibration lines and inspection vibration lines of the transformer;
calculating the confidence coefficient between the inspection vibration line and the healthy vibration line;
and judging whether the transformer fails or not according to the confidence coefficient.
In one embodiment, acquiring healthy vibration lines of a transformer comprises:
determining a plurality of detection points of the transformer;
carrying out synchronous vibration detection on the plurality of detection points, and acquiring a frequency spectrum value of each detection point;
and acquiring a deformation vector of the transformer according to the frequency spectrum value of each detection point to obtain the healthy vibration lines of the transformer.
In one embodiment, acquiring healthy vibration lines of a transformer comprises:
determining a plurality of detection points of the transformer, and selecting any one detection point from the plurality of detection points as a reference detection point;
taking the reference detection point as a reference, carrying out vibration detection on the plurality of detection points in batches, and acquiring a transfer function of each detection point relative to the reference detection point;
and acquiring a deformation vector of the transformer according to the transfer function of each detection point relative to the reference detection point so as to obtain the healthy vibration pattern of the transformer.
In one embodiment, obtaining a transfer function of each detection point with respect to a reference detection point comprises:
and acquiring the frequency spectrum ratio of the detection point relative to the reference detection point to obtain the transfer function.
In one embodiment, the method further comprises: and correspondingly storing the model of the transformer, the healthy vibration lines of the transformer and the position information of the plurality of detection points into a healthy vibration line library.
In one embodiment, the method for acquiring the inspection vibration marks of the transformer is the same as the method for acquiring the healthy vibration marks of the transformer, and the number and the positions of the detection points are the same.
In one embodiment, the method further comprises:
drawing a healthy cloud picture according to the position information and the healthy vibration lines of the plurality of detection points;
drawing an inspection cloud picture according to the position information of the plurality of detection points and the inspection vibration lines;
and judging whether the transformer fails according to the health cloud picture and the inspection cloud picture.
In one embodiment, the confidence between the patrol chatter marks and the healthy chatter marks is calculated by the following formula:
wherein DAC (f) is confidence coefficient between the inspection vibration line and the healthy vibration line, D (f) is inspection vibration line, Dr(f) Is a healthy vibration mark.
In one embodiment, the determining whether the transformer fails according to the confidence level includes:
judging whether the confidence coefficient is smaller than a preset threshold value or not;
if the confidence coefficient is smaller than a preset threshold value, judging that the transformer fails;
and if the confidence coefficient is greater than or equal to a preset threshold value, judging that the transformer does not have a fault.
A chatter mark-based transformer fault diagnosis device comprises:
the first acquisition module is used for acquiring the healthy vibration lines of the transformer;
the second acquisition module is used for acquiring the inspection vibration lines of the transformer;
the calculation module is respectively connected with the first acquisition module and the second acquisition module and is used for calculating the confidence coefficient between the inspection vibration line and the healthy vibration line;
and the judging module is connected with the calculating module and is used for judging whether the transformer fails according to the confidence coefficient.
According to the transformer fault diagnosis method and device based on the vibration lines, the healthy vibration lines and the routing inspection vibration lines of the transformer are obtained, the confidence coefficient between the routing inspection vibration lines and the healthy vibration lines is calculated, whether the transformer has a fault or not is judged according to the confidence coefficient, misjudgment caused by magnitude change due to load change can be effectively avoided, and therefore accurate, stable and reliable monitoring of the transformer fault is achieved.
Drawings
FIG. 1 is a flow chart of a chatter-based transformer fault diagnosis method in a first embodiment;
FIG. 2 is a flowchart of acquiring healthy ringing of a transformer according to a first embodiment;
FIG. 3 is a flowchart of acquiring healthy ringing of a transformer according to a second embodiment;
FIG. 4 is a flow chart of a chatter-based transformer fault diagnosis method in a second embodiment;
fig. 5 is a schematic structural diagram of a transformer fault diagnosis device based on chattering marks in one embodiment.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed as broadly as the present invention is capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
Fig. 1 is a flowchart of a method for diagnosing a fault of a transformer based on chatter marks in an embodiment, where as shown in fig. 1, the method for diagnosing a fault of a transformer based on chatter marks includes:
and S102, acquiring the healthy vibration lines and the inspection vibration lines of the transformer.
The healthy vibration lines refer to vibration lines of the transformer in a healthy state, and specifically refer to deformation vectors (also called vibration vector matrixes or vibration vectors) corresponding to a plurality of detection points on the transformer in the healthy state; the inspection vibration lines refer to vibration lines of the transformer in an inspection state, specifically to deformation vectors (also called vibration vector matrix or vibration vector) corresponding to a plurality of detection points on the transformer in the inspection state (also called working state or running state), including vibration lines in a normal state and vibration lines in a fault state. The vibration fringes of the transformer can visually reflect the working deformation condition of the transformer, the inherent characteristics of the transformer can be judged, magnitude change along with load change can not be caused, and if the magnitude change along with load voltage and load current change can not be caused, the vibration fringes of the transformer can be analyzed, and the fault of the transformer can be accurately, stably and reliably monitored.
Before analyzing the vibration fringes of the transformer, the vibration fringes of the transformer are acquired firstly, and the vibration fringes of the transformer can be acquired specifically through two modes, one mode is a synchronous acquisition mode, and the other mode is a batch acquisition mode, and the method specifically comprises the following steps:
in one embodiment, referring to fig. 2, obtaining healthy ringing of a transformer comprises:
s202, determining a plurality of detection points of the transformer.
Take the transformer as an oil-immersed transformer as an example. Because the vibration signal of the surface of the oil tank of the oil-immersed transformer is closely related to the mechanical conditions of the internal winding and the iron core of the oil-immersed transformer, a plurality of detection points can be arranged on the surface of the oil tank, meanwhile, in order to accurately reflect the whole vibration lines of the oil-immersed transformer, the surface of the oil tank can be divided into small grids with the side length of about 8cm, and a vibration sensor (such as an acceleration sensor and the like) is adhered to the intersection point of each grid to be used as the detection point of the transformer.
And S204, performing synchronous vibration detection on the plurality of detection points, and acquiring a frequency spectrum value of each detection point.
When the vibration detection is carried out on the plurality of detection points to obtain the frequency spectrum value responded by each detection point in the plurality of detection points, if the number of detection channels is large, the vibration detection of all the detection points can be completed at one time, then each detection point can be directly connected with the corresponding detection channel to carry out the vibration detection, and the frequency spectrum value responded by each detection point is obtained according to the vibration detection result. For example, synchronous vibration detection can be performed on all detection points through a data acquisition card with more detection channels than detection points, the detection result is transmitted to the controller, the controller performs frequency domain conversion on the acquired vibration signal to obtain a frequency domain signal, and then the frequency domain signal is analyzed and processed to obtain a spectral value responded by each detection point.
And S206, acquiring a deformation vector of the transformer according to the frequency spectrum value of each detection point to obtain the healthy vibration lines of the transformer.
Assuming n detection points, the healthy vibration ripple of the transformer is shown in the following formula (1):
Dr(f)＝[Xr1(f) Xr2(f) ... Xrn(f)](1)
wherein D isr(f) For healthy vibration of the transformer, i.e. in a healthy stateDeformation vector, Xr1(f) For the spectral value, X, corresponding to the 1 st detection pointr2(f) For the spectral value corresponding to the 2 nd detection point, …, Xrn(f) And the spectrum value corresponding to the nth detection point.
Therefore, under the condition that the number of detection channels is allowed, the accuracy of obtaining the vibration lines of the transformer can be improved by synchronously detecting a plurality of detection points, and the accuracy of diagnosing the faults of the transformer is further improved.
In another embodiment, referring to fig. 3, obtaining healthy ringing of a transformer comprises:
s302, determining a plurality of detection points of the transformer, and selecting any one detection point from the plurality of detection points as a reference detection point.
Still take the transformer as an oil-immersed transformer as an example. In an electric power system, generally, the volume of an oil-immersed transformer is large, and meanwhile, in order to accurately reflect the whole vibration pattern of the oil-immersed transformer, the distance between a plurality of detection points is small, so that the number of the detection points is large, some detection points can be dozens or even hundreds, the number of detection channels is difficult to reach dozens or hundreds, and therefore vibration detection can be performed on the plurality of detection points in batches to obtain the frequency spectrum value of the response of each detection point in the plurality of detection points. In the batch detection process, the accuracy of detection of different batches can be ensured by arranging a reference detection point, wherein the reference detection point can be any one of a plurality of detection points or can be a single detection point, but no matter how the reference detection point is determined, the reference detection point needs to be ensured to be detected and cannot move in the detection process of each batch.
S304, using the reference detection point as a reference, carrying out vibration detection on the plurality of detection points in batches, and acquiring a transfer function of each detection point relative to the reference detection point.
During actual detection, a plurality of detection points can be grouped, the number of the detection points corresponding to each group is as same as the number of the detection channels as possible, so that the detection times are reduced, the detection error is reduced, then the groups of the detection points and the reference detection points are subjected to synchronous vibration detection in batches, finally, the frequency spectrum value responded by each detection point in the plurality of detection points and the frequency spectrum value responded by the reference detection point corresponding to each detection point are obtained, and then, the transfer function of each detection point in the plurality of detection points relative to the reference detection point is obtained according to the frequency spectrum value responded by each detection point and the frequency spectrum value responded by the reference detection point corresponding to the detection point.
For example, the plurality of detection points may be divided into two groups, a synchronous vibration detection may be performed on the first group of detection points and the reference detection points to obtain spectral values responded by each detection point in the first group and spectral values responded by the reference detection points, then a transfer function of each detection point in the group with respect to the reference detection points may be calculated based on the spectral values, then a synchronous vibration detection may be performed on the second group of detection points and the reference detection points to obtain spectral values responded by each detection point in the second group and spectral values responded by the reference detection points, and then a transfer function of each detection point in the group with respect to the reference detection points may be calculated based on the spectral values. Finally, a transfer function of each of the plurality of detection points with respect to the reference detection point is obtained.
In one embodiment, obtaining a transfer function of each detection point relative to a reference detection point comprises: obtaining the spectrum ratio of the detection points relative to the reference detection points to obtain the transfer function, namely the transfer function of each detection point relative to the reference detection point is shown in the following formula (2):
wherein, Trn(f) For the transfer function of the i-th detection point relative to the reference detection point, Xri(f) For the spectral value, X, corresponding to the ith detection pointr0(f) Are the spectral values corresponding to the reference detection points.
S306, obtaining the deformation vector of the transformer according to the transfer function of each detection point relative to the reference detection point to obtain the healthy vibration pattern of the transformer.
Assuming n detection points, the healthy vibration ripple of the transformer is shown in the following formula (3):
Dr(f)＝[Tr1(f) Tr2(f) ... Trn(f)](3)
wherein D isr(f) Is the healthy vibration line of the transformer, i.e. the deformation vector, T, of the transformer in a healthy stater1(f) For the transfer function corresponding to the 1 st detection point, Tr2(f) For the transfer function corresponding to the 2 nd detection point, …, Trn(f) And (4) transfer functions corresponding to the nth detection point.
Therefore, when the detection channels are less than the detection points, the multiple detection points are synchronously detected in batches based on the same reference detection point, and the multiple detection points are corrected based on the reference detection point, so that the synchronous vibration detection of the multiple detection points is realized in an indirect mode, the accuracy of obtaining the vibration lines of the transformer is ensured to a certain extent, and the accuracy of fault diagnosis of the transformer is further ensured.
In one embodiment, the chatter mark based transformer fault diagnosis method further comprises: and correspondingly storing the model of the transformer, the healthy vibration lines of the transformer and the position information of the plurality of detection points into a healthy vibration line library. For example, the model of the transformer, the deformation vector of the transformer in the healthy state and the position coordinates of the plurality of detection points can be correspondingly stored in the healthy vibration pattern library, and then the transformer can be directly called from the healthy vibration pattern library when fault diagnosis is performed on the transformer, so that convenience in fault diagnosis is facilitated. It should be noted that even transformers of the same model have structural errors, so the transformers can be numbered, and then the numbers of the transformers, the deformation vectors of the transformers in a healthy state and the position coordinates of the multiple detection points are correspondingly stored in the healthy vibration pattern library, so that the accuracy of fault diagnosis is improved.
In one embodiment, the method for acquiring the inspection vibration lines of the transformer is the same as the method for acquiring the healthy vibration lines of the transformer, and the number and the positions of the detection points are the same.
In short, the number and the positions of the detection points in the inspection state are the same as those of the detection points in the health state, and the inspection vibration lines are obtained by the same method as the method for obtaining the health vibration lines, so that the consistency of the obtaining mode is ensured, the obtaining error is reduced, and the judgment accuracy is improved. The acquisition process of the patrol vibration line refers to the acquisition process of the healthy vibration line, and is not described herein again.
And S104, calculating the confidence coefficient between the inspection vibration line and the healthy vibration line.
The confidence coefficient (DAC) is a correlation coefficient between the inspection vibration pattern and the healthy vibration pattern, that is, a correlation coefficient between a Deformation vector of the transformer in the healthy state and a Deformation vector of the transformer in the inspection state, and the mathematical meaning of the confidence coefficient is a cosine value of an included angle between the two Deformation vectors.
In one embodiment, the confidence between the patrol chatter marks and the healthy chatter marks is calculated by equation (4):
wherein DAC (f) is confidence coefficient between the inspection vibration line and the healthy vibration line, D (f) is inspection vibration line, Dr(f) Is a healthy vibration mark.
The value range of the confidence coefficient is [0,1], and the larger the value of the confidence coefficient is, the closer the deformation conditions under the two states are, and the smaller the possibility of failure is; on the contrary, the larger the difference between the deformation conditions in the two states is, the higher the possibility of failure is, so that whether the transformer fails or not can be judged based on the confidence.
And S106, judging whether the transformer fails or not according to the confidence coefficient.
In one embodiment, determining whether the transformer fails according to the confidence level includes: judging whether the confidence coefficient is smaller than a preset threshold value or not; if the confidence coefficient is smaller than a preset threshold value, judging that the transformer fails; and if the confidence coefficient is greater than or equal to a preset threshold value, judging that the transformer does not have a fault.
Specifically, the preset threshold may be set according to an actual situation, for example, the preset threshold may be 0.8, and when the confidence between the inspection vibration pattern and the healthy vibration pattern is less than 0.8, it is indicated that the transformer fails; and when the confidence coefficient between the inspection vibration line and the healthy vibration line is greater than or equal to 0.8, the transformer is not in fault.
Therefore, the transformer is subjected to state monitoring by adopting the working deformation method, compared with the traditional method of carrying out state monitoring on the characteristic parameters such as the intensity and the frequency of the vibration signal, misjudgment caused by magnitude change caused by load change can be effectively avoided, so that the transformer fault is accurately, stably and reliably monitored, the practicability is high, and the method has very important scientific research and practical value.
In one embodiment, the method of the transformer further includes: drawing a healthy cloud picture according to the position information and the healthy vibration lines of the plurality of detection points; drawing an inspection cloud picture according to the position information of the plurality of detection points and the inspection vibration lines; and judging whether the transformer fails according to the health cloud picture and the inspection cloud picture.
The oil-immersed transformer is taken as an example. The lower left corner of an oil-immersed transformer oil tank can be set as a coordinate origin, two-dimensional coordinates of each detection point are determined based on the coordinate origin, then a three-dimensional healthy cloud picture is drawn in combination with healthy vibration lines, a three-dimensional inspection cloud picture is drawn in combination with inspection vibration lines, the two cloud pictures are presented to a detector, and the detector judges whether the transformer fails or not by observing the two cloud pictures for auxiliary judgment. Meanwhile, the data can be stored for fault maintenance or design updating.
Further, fig. 4 is a flowchart of a transformer fault diagnosis method based on chatter marks in an embodiment, and as shown in fig. 4, the transformer fault diagnosis method based on chatter marks includes the following steps:
s402, determining detection points of the transformer in the inspection state according to the detection points of the transformer in the health state, wherein the number and the positions of the detection points of the transformer in the inspection state are consistent with those of the detection points of the transformer in the health state.
S404, whether all the detection points are tested simultaneously or not is judged. If yes, go to step S406; otherwise, step S408 is performed.
S406, simultaneously performing vibration detection on all the detection points, and acquiring a frequency spectrum value of each detection point.
S408, vibration detection is carried out on all the detection points in batches, and a transfer function of each detection point relative to a reference detection point is obtained.
And S410, acquiring the inspection vibration lines of the transformer according to the frequency spectrum value of each detection point or the transfer function of each detection point relative to the reference detection point.
And S412, extracting the healthy vibration pattern corresponding to the transformer from the healthy vibration pattern library.
And S414, calculating the confidence coefficient between the inspection vibration line and the healthy vibration line of the transformer.
And S416, judging whether the confidence coefficient is smaller than a preset threshold value of 0.8. If so, go to step S418; otherwise, step S420 is executed.
And S418, judging that the transformer has a fault.
And S420, judging that the transformer has no fault.
And S422, acquiring the inspection cloud picture and the health cloud picture according to the inspection vibration lines and the health vibration lines of the transformer and the position information of all detection points, and presenting the inspection cloud picture and the health cloud picture to detection personnel as auxiliary judgment.
Therefore, the healthy vibration lines and the patrol vibration lines of the transformer are obtained, the confidence coefficient between the patrol vibration lines and the healthy vibration lines is calculated, whether the transformer breaks down or not is judged according to the confidence coefficient, misjudgment caused by magnitude change due to load change can be effectively avoided, accurate, stable and reliable monitoring of the transformer is achieved, and meanwhile, auxiliary fault diagnosis is carried out by combining a cloud chart, so that the accuracy of fault diagnosis can be further improved.
It should be noted that the present application is not only applicable to fault diagnosis of a transformer, but also applicable to fault diagnosis of an induction apparatus such as a reactor and a voltage transformer, and is not limited herein.
Fig. 5 is a schematic structural diagram of a transformer fault diagnosis device based on chattering marks in an embodiment, as shown in fig. 1, the transformer fault diagnosis device based on chattering marks includes: the system comprises a first acquisition module 10, a second acquisition module 20, a calculation module 30 and a judgment module 40, wherein the first acquisition module 10 is used for acquiring the healthy vibration lines of the transformer; the second obtaining module 20 is configured to obtain an inspection vibration mark of the transformer; the calculation module 30 is connected to the first acquisition module 10 and the second acquisition module 20, and is configured to calculate a confidence level between the inspection vibration line and the healthy vibration line; the judging module 40 is connected to the calculating module 30, and is configured to judge whether the transformer fails according to the confidence level.
In one embodiment, the first obtaining module 10 is specifically configured to: determining a plurality of detection points of the transformer; carrying out synchronous vibration detection on the plurality of detection points, and acquiring a frequency spectrum value of each detection point; and acquiring a deformation vector of the transformer according to the frequency spectrum value of each detection point to obtain the healthy vibration lines of the transformer.
In another embodiment, the first obtaining module 10 is specifically configured to: determining a plurality of detection points of the transformer, and selecting any one detection point from the plurality of detection points as a reference detection point; taking the reference detection point as a reference, carrying out vibration detection on the plurality of detection points in batches, and acquiring a transfer function of each detection point relative to the reference detection point; and acquiring a deformation vector of the transformer according to the transfer function of each detection point relative to the reference detection point so as to obtain the healthy vibration pattern of the transformer.
In one embodiment, the first obtaining module 10 is specifically configured to: and acquiring the frequency spectrum ratio of the detection point relative to the reference detection point to obtain the transfer function.
In one embodiment, the chatter-based transformer fault diagnosis apparatus further includes: and the storage module is used for correspondingly storing the model of the transformer, the healthy vibration pattern of the transformer and the position information of the plurality of detection points into the healthy vibration pattern library.
In one embodiment, the method for acquiring the inspection vibration lines of the transformer is the same as the method for acquiring the healthy vibration lines of the transformer, and the number and the positions of the detection points are the same.
In one embodiment, the fault diagnosis device for the transformer further comprises a graph generation module (not shown in the figure) for drawing a healthy cloud graph according to the position information of the plurality of detection points and the healthy vibration fringes; drawing an inspection cloud picture according to the position information of the plurality of detection points and the inspection vibration lines; and judging whether the transformer fails according to the health cloud picture and the inspection cloud picture.
In one embodiment, the calculation module 30 calculates the confidence between the patrol chatter marks and the healthy chatter marks by the following formula:
wherein DAC (f) is confidence coefficient between the inspection vibration line and the healthy vibration line, D (f) is inspection vibration line, Dr(f) Is a healthy vibration mark.
In one embodiment, the determining module 40 is specifically configured to: judging whether the confidence coefficient is smaller than a preset threshold value or not; if the confidence coefficient is smaller than a preset threshold value, judging that the transformer fails; and if the confidence coefficient is greater than or equal to a preset threshold value, judging that the transformer does not have a fault.
It should be noted that, for the related description of the transformer fault diagnosis device based on chatter marks in the present application, please refer to the description of the transformer fault diagnosis method based on chatter marks in the present application, and details thereof are not repeated here.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A transformer fault diagnosis method based on vibration lines is characterized by comprising the following steps:
acquiring healthy vibration lines and inspection vibration lines of the transformer;
calculating the confidence coefficient between the inspection vibration line and the healthy vibration line;
and judging whether the transformer fails or not according to the confidence coefficient.
2. The chatter mark-based transformer fault diagnosis method according to claim 1, wherein the obtaining of the healthy chatter marks of the transformer comprises:
determining a plurality of detection points of the transformer;
performing synchronous vibration detection on the plurality of detection points, and acquiring a frequency spectrum value of each detection point;
and acquiring a deformation vector of the transformer according to the frequency spectrum value of each detection point so as to obtain the healthy vibration lines of the transformer.
3. The chatter mark-based transformer fault diagnosis method according to claim 1, wherein the obtaining of the healthy chatter marks of the transformer comprises:
determining a plurality of detection points of the transformer, and selecting any one detection point from the plurality of detection points as a reference detection point;
carrying out vibration detection on the plurality of detection points in batches by taking the reference detection point as a reference, and acquiring a transfer function of each detection point relative to the reference detection point;
and acquiring a deformation vector of the transformer according to the transfer function of each detection point relative to the reference detection point so as to obtain the healthy vibration pattern of the transformer.
4. The method for diagnosing transformer faults based on vibration fringes as claimed in claim 3, wherein the obtaining of the transfer function of each detection point relative to the reference detection point comprises:
and acquiring the frequency spectrum ratio of the detection point relative to the reference detection point to obtain the transfer function.
5. The chatter-based transformer fault diagnosis method according to any one of claims 2-4, further comprising: and correspondingly storing the model of the transformer, the healthy vibration pattern of the transformer and the position information of the plurality of detection points into a healthy vibration pattern library.
6. The transformer fault diagnosis method based on vibration lines is characterized in that the method for acquiring the inspection vibration lines of the transformer is the same as the method for acquiring the healthy vibration lines of the transformer, and the number and the positions of the detection points are the same.
7. The chatter-based transformer fault diagnosis method according to any one of claims 2-4, further comprising:
drawing a healthy cloud picture according to the position information of the plurality of detection points and the healthy vibration lines;
drawing an inspection cloud picture according to the position information of the plurality of detection points and the inspection vibration lines;
and judging whether the transformer fails according to the healthy cloud picture and the routing inspection cloud picture.
8. The chatter-based transformer fault diagnosis method according to claim 1, wherein the confidence between the inspection chatter marks and the healthy chatter marks is calculated by the following formula:
wherein DAC (f) is the confidence between the patrol chatter mark and the healthy chatter mark, D (f) is the patrol chatter mark, Dr(f) The healthy vibration lines are obtained.
9. The method for diagnosing transformer fault based on vibration striation according to claim 1, wherein the determining whether the transformer is faulty according to the confidence level comprises:
judging whether the confidence coefficient is smaller than a preset threshold value or not;
if the confidence coefficient is smaller than the preset threshold value, judging that the transformer fails;
and if the confidence coefficient is greater than or equal to the preset threshold value, judging that the transformer does not have a fault.
10. A transformer fault diagnosis device based on vibration lines is characterized by comprising:
the first acquisition module is used for acquiring the healthy vibration lines of the transformer;
the second acquisition module is used for acquiring the inspection vibration lines of the transformer;
the calculation module is respectively connected with the first acquisition module and the second acquisition module and is used for calculating the confidence coefficient between the inspection vibration line and the healthy vibration line;
and the judging module is connected with the calculating module and is used for judging whether the transformer fails according to the confidence coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010195871.9A CN111308250A (en) | 2020-03-19 | 2020-03-19 | Transformer fault diagnosis method and device based on vibration lines |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010195871.9A CN111308250A (en) | 2020-03-19 | 2020-03-19 | Transformer fault diagnosis method and device based on vibration lines |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111308250A true CN111308250A (en) | 2020-06-19 |
Family
ID=71157449
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010195871.9A Pending CN111308250A (en) | 2020-03-19 | 2020-03-19 | Transformer fault diagnosis method and device based on vibration lines |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111308250A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114264945A (en) * | 2021-12-13 | 2022-04-01 | 广东电网有限责任公司 | Equipment state detection method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406680A (en) * | 2014-11-29 | 2015-03-11 | 国网山西省电力公司晋城供电公司 | Method for extracting vibration acceleration signal characteristics of measurement points on surfaces of power transformers |
| CN104655967A (en) * | 2015-03-17 | 2015-05-27 | 国家电网公司 | Extraction method for vibration signal characteristic quantity of winding of distribution transformer |
-
2020
- 2020-03-19 CN CN202010195871.9A patent/CN111308250A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104406680A (en) * | 2014-11-29 | 2015-03-11 | 国网山西省电力公司晋城供电公司 | Method for extracting vibration acceleration signal characteristics of measurement points on surfaces of power transformers |
| CN104655967A (en) * | 2015-03-17 | 2015-05-27 | 国家电网公司 | Extraction method for vibration signal characteristic quantity of winding of distribution transformer |
Non-Patent Citations (1)
| Title |
|---|
| 师愉航: "变压器油箱表面运行变形振型特性研究", 《电子技术学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114264945A (en) * | 2021-12-13 | 2022-04-01 | 广东电网有限责任公司 | Equipment state detection method and device |
| CN114264945B (en) * | 2021-12-13 | 2023-08-04 | 广东电网有限责任公司 | Method and device for detecting equipment state |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110689252B (en) | Capacitive voltage transformer metering error situation awareness system | |
| CN107315874B (en) | Sensor layout method for simultaneously acquiring local deformation and overall modal information of structure | |
| CN116879662A (en) | Transformer fault detection method based on data analysis | |
| CN108399486A (en) | A kind of electrical equipment fault detection method based on least square support vector machines | |
| CN109855710B (en) | Truck scale weighing state monitoring system and detection method | |
| CN115238831B (en) | Fault prediction method, device, computer equipment and storage medium | |
| CN108051364A (en) | A kind of EPR nuclear energy cable residue lifetime estimation method and prediction EPR nuclear energy cable remaining life methods | |
| TW201316266A (en) | Method, apparatus and computer program for detecting occurrence of anomaly | |
| CN102608519B (en) | Circuit failure diagnosis method based on node information | |
| CN103400308B (en) | GIS equipment operational condition online test method and system | |
| CN114994460A (en) | Cable insulation performance prediction device and method | |
| CN111308250A (en) | Transformer fault diagnosis method and device based on vibration lines | |
| US10802068B2 (en) | Method of detecting abnormal test signal channel of automatic test equipment | |
| CN114660531A (en) | Detection method, system and device based on ammeter measurement error compensation | |
| CN111562037B (en) | Thermometer fault detection method and device | |
| CN106908688B (en) | Portable power transformer winding fault real-time diagnosis equipment | |
| CN103364669B (en) | GIS equipment operational condition online test method and system | |
| CN110703043B (en) | Electricity testing method and device for nondestructive testing of multi-type power transmission line | |
| CN103197162A (en) | Multiple switch parameter fault diagnosis method based on template matching | |
| CN115439667A (en) | Transformer mechanical fault diagnosis method and system based on sound field distribution diagram | |
| CN115683319A (en) | Power transformer winding state evaluation method | |
| US20230273269A1 (en) | Determining states of electrical equipment using variations in diagnostic parameter prediction error | |
| CN106053984B (en) | The method for determining the distribution of antiskid brake control device high temperature failure | |
| CN106501360A (en) | Based on the porcelain insulator defect detecting device from comparative trend analysis and vibroacoustics, system and method | |
| Venkataswamy et al. | Deformation diagnostic methods for transformer winding through system identification |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200619 |