CN109470972A - A kind of transformer core loosening diagnosis method based on vibrational image - Google Patents
A kind of transformer core loosening diagnosis method based on vibrational image Download PDFInfo
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- CN109470972A CN109470972A CN201811360833.3A CN201811360833A CN109470972A CN 109470972 A CN109470972 A CN 109470972A CN 201811360833 A CN201811360833 A CN 201811360833A CN 109470972 A CN109470972 A CN 109470972A
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- 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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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- 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
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Abstract
The invention discloses a kind of transformer core loosening diagnosis method based on vibrational image, it is related to transformer fault diagnosis field, the present invention is installed on oil tank of transformer surface by using multiple vibration acceleration sensors, obtain the vibration signal of transformer entirety, phase only pupil filter is carried out to vibration signal, the each position vibration acceleration of transformer fuel tank under different operating conditions is obtained, by being converted to grayscale image after vibration acceleration rendering accelerating degree cloud atlas；Pass through the vibration co-occurrence matrix of grayscale image calculating transformer, and energy is extracted as characteristic quantity from vibration co-occurrence matrix, so as to obtain characteristic value of the transformer under different operating conditions, characteristic value changing rule table is obtained according to characteristic value of the transformer under different operating conditions, transformer core state can be judged by characteristic value changing rule table；Transformer to be detected is detected according to above-mentioned steps, the iron core state of transformer to be detected can be obtained, judges whether transformer core loosens so as to accurate, simple.
Description
Technical field
The present invention relates to transformer fault diagnosis field more particularly to a kind of transformer core loosenings based on vibrational image
Diagnostic method.
Background technique
Transformer is one of most important equipment of electric system, is the key link in electric system, transformer safety fortune
It is closely bound up with the reliability service of electric system whether row.Since the environmental condition of transformer station high-voltage side bus is sufficiently complex and operation year
Limit for length inevitably will appear failure.Once transformer breaks down, tremendous influence will be brought to a wide range of interior production and living,
Huge economic losses are not only resulted in this way, can also bring security risk to staff.Therefore, the latent of transformer is found in time
In failure, the reliability of transformer station high-voltage side bus is improved, research is carried out to Diagnosis Method of Transformer Faults and is had a very important significance.
The reason of transformer core loosens has iron core to generate vibration under magnetostriction effect, makes iron core dislocation, loosens；Become
The vibration that depressor generates loosens fastener bolt by alternate stress, and then leads to iron core looseness.Due to transformer
Internal mechanical, electrical structure are complicated, once mechanical structure changes, have many features amount and change correspondingly, therefore for not
Detection with characteristic quantity proposes a variety of transformer core status monitoring schemes.It at present more commonly include short circuit impedance method, frequency
Rate response method, frequency sweep impedance method, Low Voltage Impulse Method and analysis of vibration signal method etc..
Wherein, short circuit impedance method, frequency response method, frequency sweep impedance method, Low Voltage Impulse Method etc. are offline inspection means, can not
It is detected when transformer puts into operation.Vibration analysis method is at present mainly by using transformer single point vibration signal as its mechanical-like
The shortcomings that diagnosis basis of state, this method is the vibration signal for analyzing single measuring point, is easy to be influenced by measurement position.
In conclusion the transformer vibration cloud atlas for being directed to reflection transformer body vibration feature carries out analysis and has theoretical base
Plinth, operability are higher.With the continuous development of signal processing technology, there is good development prospect, after improving theory
Practical engineering application is put into, huge social and economic benefit can be created.
Summary of the invention
The purpose of the present invention is to provide a kind of transformer core loosening diagnosis method based on vibrational image, to solve
In the analysis of vibration signal of existing vibratory drilling method assessment transformer, mostly uses the vibration signal of single measuring point to be analyzed greatly, do not have
There is the shortcomings that carrying out fault diagnosis using the vibration performance of transformer entirety.
To achieve the above object, the present invention provides a kind of transformer core loosening diagnosis method based on vibrational image,
The following steps are included:
The vibration signal of S1, measuring transformer shell；
S2, phase only pupil filter is carried out to the vibration signal, obtains each position vibration of transformer fuel tank under different operating conditions
Acceleration；
S3, according to the transformer under same operating each position vibration acceleration of fuel tank, draw transformer in the work
The vibration acceleration cloud atlas of tank surface under condition, and the vibration acceleration cloud atlas is converted into grayscale image；
S4, it is extracted by the vibration co-occurrence matrix of the grayscale image calculating transformer, and from the vibration co-occurrence matrix
Energy is as characteristic quantity；
S5, S3-S4 is repeated, characteristic value of the transformer under different operating conditions is obtained, according to transformer under different operating conditions
Characteristic value obtains characteristic value changing rule table, judges transformer core state by characteristic value changing rule table；
S6, S1-S6 is carried out to transformer to be measured, the characteristic quantity of transformer to be detected is obtained, by the spy of transformer to be detected
Sign amount substitutes into S5 and is judged, to obtain transformer core state.
Further, using the vibration signal of vibration acceleration sensor measuring transformer shell.
Further, multiple vibration acceleration sensors are installed on oil tank of transformer surface and constitute vibrating sensor battle array
Column.
Further, multiple vibration acceleration sensors are adsorbed in oil tank of transformer surface by permanent magnet.
Further, in the S4 calculating transformer vibration co-occurrence matrix method are as follows: set the pixel of the grayscale image
For Nx×Ny, then on the grayscale image select a pixel i (x, y), and find on the direction θ of pixel i with pixel
I is apart the pixel j (x, y, d, θ) of d；If the gray level of pixel i is g1, the gray level of pixel j is g2, wherein 0 < g1、
g2< k, k are total gray level of grayscale image；All pixels point is scanned on the grayscale image to (i, j), and counts various gray levels
To the probability P (g of appearance1, g2), finally obtain k × k vibration co-occurrence matrix.
Further, the expression formula of the Energy extraction such as (1) is shown,
In formula (1), k is total gray level of grayscale image.
Compared with prior art, the invention has the following beneficial effects:
1, the transformer core loosening diagnosis method provided by the present invention based on vibrational image is accelerated using multiple vibrations
Degree sensor is installed on oil tank of transformer surface, constitutes vibration acceleration sensor array, obtains the vibration letter of transformer entirety
Number, phase only pupil filter is carried out to vibration signal, each position vibration acceleration of transformer fuel tank under different operating conditions is obtained, passes through vibration
Grayscale image is converted to after dynamic acceleration rendering accelerating degree cloud atlas；By the vibration co-occurrence matrix of grayscale image calculating transformer, and from
Vibration co-occurrence matrix extracts energy as characteristic quantity, so as to obtain characteristic value of the transformer under different operating conditions, according to
Characteristic value of the transformer under different operating conditions obtains characteristic value changing rule table, can judge to become by characteristic value changing rule table
Depressor iron core state；Transformer to be detected is detected according to above-mentioned steps, the iron core state of transformer to be detected can be obtained,
Judge whether transformer core loosens so as to accurate, simple.
2, the present invention uses the vibration signal of vibration acceleration sensor measuring transformer shell, vibration acceleration sensor
Oil tank of transformer surface can be adsorbed in by permanent magnet, without electrical connection between measurement and transformer, not vulnerable in substation
Electromagnetic interference influence reduces the difficulty of signal extraction processing, reduces tester's security risk.Vibration acceleration passes simultaneously
Sensor size is small, and equipment is easy to carry, has the feasibility of on-the-spot test.
3, the present invention draws transformer in the work by each position vibration acceleration of transformer fuel tank under same operating
The vibration acceleration cloud atlas of tank surface under condition includes the information of equipment entirety in cloud atlas, avoids the influence of measurement position.
Detailed description of the invention
It, below will be to attached drawing needed in embodiment description in order to illustrate more clearly of technical solution of the present invention
It is briefly described, it should be apparent that, the accompanying drawings in the following description is only one embodiment of the present of invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow chart of the transformer core loosening diagnosis method based on vibrational image of the present invention；
Fig. 2 is the gray scale schematic diagram of the embodiment of the present invention；
Fig. 3 is that the embodiment of the present invention transformer core loosens front and back, vibrates energy in the gray level co-occurrence matrixes of cloud atlas
Situation of change schematic diagram.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, the technical solution in the present invention is clearly and completely described,
Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, those of ordinary skill in the art's every other embodiment obtained without creative labor,
It shall fall within the protection scope of the present invention.
As shown in Figure 1, the transformer core loosening diagnosis method provided by the present invention based on vibrational image comprising steps of
The vibration signal of S1, measuring transformer shell；Specifically, multiple vibration acceleration sensors are installed on transformer
Tank surface constitutes vibration detector arrays, avoids reinforcing rib as far as possible, passes through multiple vibration acceleration sensor measuring transformers
The vibration signal of tank body of oil tank under different operating conditions, installation are adsorbed in oil tank of transformer surface using permanent magnet；
S2, phase only pupil filter is carried out to the vibration signal of the obtained transformer tank body of oil tank under different operating conditions of S1, so that passing
The vibration signal that sensor measures is the signal of same phase, and obtains the vibration of transformer each position of fuel tank under different operating conditions
Acceleration；
S3, the transformer obtained according to S2 each position of fuel tank under same operating vibration acceleration, pass through sample three times
Interpolation draws out the vibration acceleration cloud atlas of transformer tank surface under the operating condition, and vibration acceleration cloud atlas is (colored
Cloud atlas) be converted to grayscale image (as indicated with 2)；
S4, the vibration co-occurrence matrix that transformer is calculated by the grayscale image that S3 is obtained；Specifically, setting the pixel of grayscale image
For Nx×Ny, then on grayscale image select a pixel i (x, y), and find on the direction θ of pixel i with pixel i phase
Away from the pixel j (x, y, d, θ) for d；If the gray level of pixel i is g1, the gray level of pixel j is g2, wherein 0 < g1、g2<
K, k are total gray level of grayscale image；All pixels point is scanned on grayscale image to (i, j), and counts various gray levels to appearance
Probability P (g1, g2), finally obtain k × k vibration co-occurrence matrix；Energy (ASM) work is extracted by vibrating co-occurrence matrix
The amount of being characterized, the expression formula of Energy extraction is such as shown in (1)；
In formula (1), k is total gray level of grayscale image；
S5, S3-S4 is repeated, characteristic value of the transformer under different operating conditions is obtained, according to transformer under different operating conditions
Characteristic value obtains characteristic value changing rule, judges transformer core state by characteristic value changing rule table；The condition of judgement is such as
Shown in table 1；
Table 1: judge the condition of transformer core state
S6, S1-S6 is carried out to transformer to be measured, the characteristic quantity of test transformer is obtained, by the characteristic quantity of test transformer
It substitutes into S5 to be judged, to obtain transformer core state.As shown in figure 3, the transformer core of the present embodiment loosens front and back,
Vibrate the situation of change of energy in the gray level co-occurrence matrixes of cloud atlas.It can be seen that energy obviously increases when iron core loosens
Add.
Above disclosed is only a specific embodiment of the invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, can readily occur in variation or modification,
It is covered by the protection scope of the present invention.
Claims (6)
1. a kind of transformer core loosening diagnosis method based on vibrational image, it is characterised in that: the following steps are included:
The vibration signal of S1, measuring transformer shell；
S2, phase only pupil filter is carried out to the vibration signal, obtains each position vibration of transformer fuel tank under different operating conditions and accelerates
Degree；
S3, according to the transformer under same operating each position vibration acceleration of fuel tank, draw transformer under the operating condition
The vibration acceleration cloud atlas of tank surface, and the vibration acceleration cloud atlas is converted into grayscale image；
S4, energy is extracted by the vibration co-occurrence matrix of the grayscale image calculating transformer, and from the vibration co-occurrence matrix
As characteristic quantity；
S5, S3-S4 is repeated, characteristic value of the transformer under different operating conditions is obtained, according to feature of the transformer under different operating conditions
Value obtains characteristic value changing rule table, judges transformer core state by characteristic value changing rule table；
S6, S1-S6 is carried out to transformer to be measured, the characteristic quantity of transformer to be detected is obtained, by the characteristic quantity of transformer to be detected
It substitutes into S5 to be judged, to obtain transformer core state.
2. the transformer core loosening diagnosis method according to claim 1 based on vibrational image, it is characterised in that: use
The vibration signal of vibration acceleration sensor measuring transformer shell.
3. the transformer core loosening diagnosis method according to claim 2 based on vibrational image, it is characterised in that: multiple
The vibration acceleration sensor is installed on oil tank of transformer surface and constitutes vibration detector arrays.
4. the transformer core loosening diagnosis method according to claim 3 based on vibrational image, it is characterised in that: multiple
The vibration acceleration sensor is adsorbed in oil tank of transformer surface by permanent magnet.
5. the transformer core loosening diagnosis method according to claim 1 based on vibrational image, it is characterised in that: described
The method of the vibration co-occurrence matrix of calculating transformer in S4 are as follows: set the pixel of the grayscale image as Nx×Ny, then in the gray scale
A pixel i (x, y) is selected on figure, and find on the direction θ of pixel i be apart with pixel i d pixel j (x, y,
D, θ)；If the gray level of pixel i is g1, the gray level of pixel j is g2, wherein 0 < g1、g2< k, k are total gray scale of grayscale image
Grade；All pixels point is scanned on the grayscale image to (i, j), and counts various gray levels to the probability P (g of appearance1, g2), most
K × k vibration co-occurrence matrix is obtained eventually.
6. the transformer core loosening diagnosis method according to claim 5 based on vibrational image, it is characterised in that: described
The expression formula of Energy extraction such as (1) is shown,
In formula (1), k is total gray level of grayscale image.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109883747A (en) * | 2019-03-25 | 2019-06-14 | 国网宁夏电力有限公司电力科学研究院 | GIS method for diagnosing faults based on sound intensity cloud atlas |
| CN110332952A (en) * | 2019-07-12 | 2019-10-15 | 国网上海市电力公司 | A kind of transformer core loosening detection method and platform based on acoustic picture |
| CN110412404A (en) * | 2019-06-04 | 2019-11-05 | 广西电网有限责任公司电力科学研究院 | A kind of winding slap fault diagnosis method based on transformer acoustic picture contrast |
| CN110728257A (en) * | 2019-10-22 | 2020-01-24 | 中国计量大学 | Transformer winding fault monitoring method based on vibration gray level image |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109883747A (en) * | 2019-03-25 | 2019-06-14 | 国网宁夏电力有限公司电力科学研究院 | GIS method for diagnosing faults based on sound intensity cloud atlas |
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| CN110332952A (en) * | 2019-07-12 | 2019-10-15 | 国网上海市电力公司 | A kind of transformer core loosening detection method and platform based on acoustic picture |
| CN110332952B (en) * | 2019-07-12 | 2021-08-17 | 国网上海市电力公司 | Transformer core looseness detection method and platform based on acoustic images |
| CN110728257A (en) * | 2019-10-22 | 2020-01-24 | 中国计量大学 | Transformer winding fault monitoring method based on vibration gray level image |
| CN110728257B (en) * | 2019-10-22 | 2023-07-07 | 中国计量大学 | Transformer winding fault monitoring method based on vibration gray level image |
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