CN103513138A - Transformer winding and iron core fault diagnosis method based on vibration characteristic - Google Patents

Transformer winding and iron core fault diagnosis method based on vibration characteristic Download PDF

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Publication number
CN103513138A
CN103513138A CN201310481262.XA CN201310481262A CN103513138A CN 103513138 A CN103513138 A CN 103513138A CN 201310481262 A CN201310481262 A CN 201310481262A CN 103513138 A CN103513138 A CN 103513138A
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vibration
frequency domain
transformer
sequence
vibration signal
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CN103513138B (en
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赵林
袁帅
王纪强
毕建刚
刘统玉
吴立远
刘媛
王峰
侯墨语
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SHANDONG MICRO-SENSOR PHOTONICS Ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd
State Grid Jiangsu Electric Power Co Ltd
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SHANDONG MICRO-SENSOR PHOTONICS Ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd
State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention relates to a transformer winding and iron core fault diagnosis method based on a vibration characteristic. The methods comprises the steps that the time domain sequences of an original vibration signal and a to-be-detected vibration signal are collected; the time domain sequences are respectively transformed into respective frequency domain sequences; the frequency domain sequences of an original iron core vibration signal, an original winding vibration signal, a to-be-detected iron core vibration signal and a to-be-detected winding vibration signal are determined; data processing are carried out on the frequency domain sequences of the original iron core vibration signal, the original winding vib ration signal, the to-be-detected iron core vibration signal and the to-be-detected winding vibration signal; and fault diagnosis is carried out according to the data processing result. The method provided by the invention realizes the separation of iron core and winding vibration signals, can effectively reflect the vibration states of a winding and an iron core of a transformer, and has the advantages of accurate monitoring result and strong practicality.

Description

A kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance
Technical field:
The present invention relates to a kind of Transformer Winding and iron core method for diagnosing faults, more specifically relate to a kind of Transformer Winding in vibration performance and iron core method for diagnosing faults.
Background technology:
Power transformer is one of most important equipment in electric system, and its reliability service is significant for the stability of safeguarding electric system.In recent years, along with the increase of transformer load capacity, cutting-out of voltage changer causes the dash current that flows through winding coil to increase, and causes winding deformation; In addition, due to the long-time running of transformer, iron core snap-in force weakens, and siliconized plate becomes flexible Frequent Accidents, serious causes iron core flexural deformation, destroys the mechanical stability of transformer, causes potential potential safety hazard to the stable operation of transformer.
The method for diagnosing faults of Transformer Winding and iron core has at present: short circuit impedance method, frequency response method, Low Voltage Impulse Method, dissolved gas analysis method.But these methods all having in varying degrees that sensitivity is lower, the defect such as poor anti jamming capability, repeatability be not strong.Meanwhile, these methods all belong to off-line monitoring method, can not real time on-line monitoring Transformer Winding and iron core operation conditions the timely fault of finding.
Patent publication No. is " CN101782426A ", the Chinese patent that name is called " detection method of looseness fault vibration of power transformer winding " by calculate Fourier spectrum, the kurtosis value of vibration signal, 6 time scale sampling entropys with etc. parameter, to the special vibrational state of Transformer Winding, slight loosening, moderate is loosening and serious loosening judging.But the method is just for the vibration parameters analysis under the loosening situation of specific fault of transformer, winding and core vibration signal are not carried out to effective separation, also just cannot do effective monitoring to other malfunctions such as winding deformation and iron core groundings, all there is certain limitation in the accuracy of its status monitoring, validity and practicality.
Summary of the invention:
The object of this invention is to provide a kind of Transformer Winding in vibration performance and iron core method for diagnosing faults, the method is the vibrational state of effecting reaction Transformer Winding and iron core more, and monitoring result is more accurate, and practicality is stronger.
For achieving the above object, the present invention by the following technical solutions: a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance, the method comprises the following steps:
(1) gather the time domain sequences of original vibration signal and vibration signal to be measured;
(2) described time domain sequences is changed into respectively to frequency domain sequence separately;
(3) determine original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured;
(4) described original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured are carried out to data processing;
(5) according to the data processed result of described step (4), carry out fault diagnosis.
A kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, the time domain of the original vibration signal in described step (1) is the original unloaded vibration data of transformer and original load vibration data; The time domain of described vibration signal to be measured is transformer unloaded vibration data to be measured and transformer load vibration data to be measured.
A kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, the original unloaded vibration data of described transformer is under the light condition after transformer field Installation and Debugging, before putting into operation, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described original load vibration data is under the rated load condition after described transformer puts into operation, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described transformer unloaded vibration data to be measured is under the postrun light condition of described transformer, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described transformer load vibration data to be measured is under the postrun rated load condition of described transformer, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring.
Another preferred a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, changes by fast Fourier the frequency domain sequence converting to separately respectively by the time domain sequences of original vibration signal in described step (2) and the time domain sequences of vibration signal to be measured;
Described original unloaded vibration data is changed and converted to its frequency domain sequence X (k) by fast Fourier;
Described original load vibration data is changed and converted to its frequency domain sequence Y (k) by fast Fourier;
Described unloaded vibration data to be measured is changed and converted to its frequency domain sequence A (k) by fast Fourier;
Described load vibration data to be measured is changed and converted to its frequency domain sequence B (k) by fast Fourier.
Preferred a kind of Transformer Winding and an iron core method for diagnosing faults based on vibration performance more provided by the invention, in described step (3), original core vibration signal frequency domain sequence is that X (k), core vibration signal frequency domain sequence to be measured are A (k);
Described original basket vibration signal frequency domain sequence is Z(k)=Y(k)-X(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
Described basket vibration signal frequency domain sequence C to be measured (k)=B(k)-A(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
By described core vibration signal frequency domain sequence to be measured, be that A (k) is that X (k) carries out data processing with original core vibration signal frequency domain sequence;
Described basket vibration signal frequency domain sequence C to be measured (k) and original basket vibration signal frequency domain sequence Z (k) are carried out to data processing.
Another preferred a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, described data processing step is:
(4-1) determine the related coefficient C of described frequency domain sequence A (k) and described frequency domain sequence X (k) 1with amplitude coefficient F 1:
(4-2) determine the related coefficient C of described sequence of differences C (k) and described sequence of differences Z (k) 2with amplitude coefficient F 2.
Another preferred a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, described related coefficient determining step is:
C = COV pq D p D q - - - ( 1 )
COV pq = 1 N Σ k = 1 N [ P ( k ) - 1 N Σ k = 1 N P ( k ) ] [ Q ( k ) - 1 N Σ k = 1 N Q ( k ) ] - - - ( 2 )
D p = 1 N Σ k = 1 N [ P ( k ) - 1 N Σ k = 1 N P ( k ) ] 2 D q = 1 N Σ k = 1 N [ Q ( k ) - 1 N Σ k = 1 N Q ( k ) ] 2 - - - ( 3 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k);
C is described related coefficient C1 or C2;
COV pqfor the covariance of described frequency domain sequence A (k) with described frequency domain sequence X (k), or
The covariance of described sequence of differences C (k) and described sequence of differences Z (k);
D pfor the variance of described frequency domain sequence A (k), or
The variance of described sequence of differences C (k)
D qfor the variance of described frequency domain sequence X (k), or
The variance of described sequence of differences Z (k).
Another preferred a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, described amplitude coefficient determining step is:
F = Σ k = 1 N [ P ( k ) - Q ( k ) ] Σ k = 1 N Q ( k ) - - - ( 4 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
F is described amplitude coefficient F 1or F 2;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k).
Another preferred a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance provided by the invention, described step (5) is according to the related coefficient C in table 1 1with amplitude coefficient F 1span and the related coefficient C in table 2 2with amplitude coefficient F 2span transformer core and winding are carried out to fault diagnosis.
Table 1
Table 2
With immediate prior art ratio, the invention provides technical scheme and there is following excellent effect
1, in the present invention, method adopts no-load transformer and load signal to gather respectively mode, has realized the separated of iron core and basket vibration signal, the vibrational state of effecting reaction Transformer Winding and iron core more, and monitoring result is more accurate, and practicality is stronger;
2, the present invention is directed to Transformer Winding and core vibration signal difference, set respectively different related coefficients, amplitude coefficient threshold value, propose corresponding Quantitative Diagnosis judgment criteria, had on-the-spot workablely, accuracy of judgement, be quick on the draw, can have quantized judgement, the advantage such as easy to implement;
3, in the present invention, the present invention can be widely used in the fault diagnosis of Transformer Winding and iron core.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the inventive method;
Fig. 2 is the schematic flow sheet of the inventive method;
Fig. 3 is data flow schematic diagram of the present invention.
Embodiment
Below in conjunction with embodiment, the invention will be described in further detail.
Embodiment 1:
As Figure 1-3, Transformer Winding and the iron core method for diagnosing faults of the invention of this example based on vibration performance, the method comprises the following steps:
(1) gather the time domain sequences of original vibration signal and vibration signal to be measured;
(2) time domain sequences of described original vibration signal and vibration signal to be measured is changed into respectively to frequency domain sequence separately;
(3) determine original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured;
(4) described original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured are carried out to data processing;
(5) according to the data processed result of described step (4), carry out fault diagnosis.
Described original vibration signal acquisition step refers to and gathers the original unloaded vibration data of transformer and original load vibration data, then described original vibration signal is delivered to original vibration signal fast Fourier and is changed FFT time-frequency switch process.The original unloaded vibration data of transformer of described collection refers to after described transformer field Installation and Debugging, before putting into operation, under described no-load transformer state, measures the vibration signal time domain sequences of oil tank of transformer surface fixed position.The original load vibration data of transformer of described collection refers to after described transformer puts into operation, and under described transformer rated load condition, measures the vibration signal time domain sequences of oil tank of transformer surface fixed position.
Described vibration signals collecting step to be measured refers to described collection transformer unloaded vibration data to be measured and transformer load vibration data to be measured, then described vibration signal to be measured is delivered to vibration signal fast Fourier to be measured and is changed FFT time-frequency switch process.The to be measured unloaded vibration data of described collection transformer refers at described transformer after operation a period of time, under described no-load transformer state, measures the vibration signal time domain sequences of oil tank of transformer surface fixed position.The transformer load vibration data to be measured of described collection refers at transformer after operation a period of time, under transformer rated load condition, measures the vibration signal time domain sequences of oil tank of transformer surface fixed position.
Described original vibration signal fast Fourier changes FFT time-frequency switch process for the original unloaded vibration data of described transformer and the original load vibration data of transformer of described original vibration signal acquisition step transmission are carried out respectively to fast Fourier FFT conversion, obtain the original unloaded vibration data frequency domain sequence X of described transformer (k) and the original load vibration data of transformer frequency domain sequence Y (k), deliver to original winding signal and carry out separation.
Described vibration signal FFT time-frequency switch process to be measured is for carrying out respectively fast Fourier FFT conversion by transformer unloaded vibration data to be measured and the transformer load vibration data to be measured of described vibration signals collecting step transmission to be measured, obtain described transformer unloaded vibration data frequency domain sequence A to be measured (k) and transformer load vibration data to be measured frequency domain sequence B (k), deliver to winding signal to be measured and carry out separation.
Wherein, described original core vibration signal frequency domain sequence is X (k) and core vibration signal frequency domain sequence to be measured is A (k);
Described original basket vibration signal frequency domain sequence is Z(k)=Y(k)-X(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
Described basket vibration signal frequency domain sequence C to be measured (k)=B(k)-A(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
By described core vibration signal frequency domain sequence to be measured, be that A (k) is that X (k) carries out data processing with original core vibration signal frequency domain sequence;
Described basket vibration signal frequency domain sequence C to be measured (k) and original basket vibration signal frequency domain sequence Z (k) are carried out to data processing.
Described data processing step is that calculating described transformer unloaded sequence A to be measured (k) is that described core vibration signal frequency domain sequence to be measured and described original unloaded sequence X (k) are the related coefficient C of original core vibration signal frequency domain sequence according to original iron core and winding signal and iron core to be measured and winding signal frequency domain sequence after processing and signal separation 1with amplitude coefficient F 1, calculating described transformer sequence of differences C to be measured (k) is that basket vibration signal frequency domain sequence to be measured and described original difference sequence Z (k) are the related coefficient C of original basket vibration signal frequency domain sequence 2with amplitude coefficient F 2.
Described troubleshooting step is by described related coefficient C 1, C 2with amplitude coefficient F 1, F 2the size of value, judges that according to Quantitative Diagnosis judgment criteria whether Transformer Winding and iron core exist fault, obtain last diagnostic conclusion.
Described in described data processing step, the computing method of related coefficient C are:
C = COV pq D p D q - - - ( 1 )
COV pq = 1 N Σ k = 1 N [ P ( k ) - 1 N Σ k = 1 N P ( k ) ] [ Q ( k ) - 1 N Σ k = 1 N Q ( k ) ] - - - ( 2 )
D p = 1 N Σ k = 1 N [ P ( k ) - 1 N Σ k = 1 N P ( k ) ] 2 D q = 1 N Σ k = 1 N [ Q ( k ) - 1 N Σ k = 1 N Q ( k ) ] 2 - - - ( 3 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k);
C is described related coefficient C1 or C2;
COV pqfor the covariance of described frequency domain sequence A (k) with described frequency domain sequence X (k), or
The covariance of described sequence of differences C (k) and described sequence of differences Z (k);
D pfor the variance of described frequency domain sequence A (k), or
The variance of described sequence of differences C (k);
D qfor the variance of described frequency domain sequence X (k), or
The variance of described sequence of differences Z (k).
Described amplitude coefficient F determining step is:
F = Σ k = 1 N [ P ( k ) - Q ( k ) ] Σ k = 1 N Q ( k ) - - - ( 4 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
F is described amplitude coefficient F 1or F 2;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k).
In described troubleshooting step, iron core fault diagnosis judgment criteria: work as C 1> 0.92 and F 1during < 0.07, show that iron core is in good condition; As 0.88 < C 1< 0.92 and 0.07 < F 1during < 0.11, show that iron core silicon-steel sheet may occur slight loosening; As 0.81 < C 1< 0.88 and 0.11 < F 1during < 0.16, show that iron core silicon-steel sheet may seriously become flexible; As 0.75 < C 1< 0.81 and 0.16 < F 1during < 0.2, show flexural deformation of iron core; Work as C 1< 0.75 and 0.2 < F 1time, showing may iron core grounding.
Described winding failure diagnosis judgment criteria is for working as C 2> 0.9 and F 2during < 0.09, show that winding state is good; As 0.85 < C 2< 0.9 and 0.09 < F 2during < 0.14, show that winding may occur slight loosening; As 0.77 < C 2< 0.85 and 0.14 < F 2during < 0.2, show that winding may seriously become flexible; As 0.7 < C 2< 0.77 and 0.2 < F 2during < 0.25, show torsional deformation of winding; Work as C 2< 0.7 and 0.25 < F 2time, show that transformer may exist short circuit.
The vibration that described transformer produced due to when operation mainly comprises basket vibration and core vibration.Under idle condition, described transformer load electric current is zero, and the vibration of described winding can be ignored, and described transformer body vibration is mainly that the vibration of exciting curent effect lower core causes.Under loading condition, in the coil of described transformer, there is load current to flow through, except described core vibration, described transformer body vibration also comprises the vibration of winding coil under load current effect.Therefore, utilize vibration transducer, measure respectively the vibration signal of described transformer body under zero load and loading condition, what when unloaded, record is exactly described transformer core vibration signal, is the stack of described iron core and basket vibration signal during load.Vibration signal while isolating zero load the vibration signal during from described transformer load just can obtain the vibration signal of winding.
The Chinese DianKeYuan 110kv extra-high voltage experiment base transformer of take is experimental subjects, according to method of the present invention, test, when diagnosing, for the ease of the distortionless vibration signal that obtains continuously different amplitudes, vibration transducer is fixed on fuel tank sidewall, adopt strong magnetic attached or fasten with glue fixingly, described vibration signal sample frequency is set to 8192HZ.
In this test, gather respectively 10 groups of fixed positions, oil tank of transformer surface running status vibration data, specifically comprise: 1. iron core is in good condition; 2. iron core silicon-steel sheet is slightly loosening; 3. iron core silicon-steel sheet is seriously loosening; 4. iron core flexural deformation; 5. iron core grounding; 6. good 7. windings of winding state are slightly loosening; 8. winding seriously becomes flexible 9. winding torsional deformations; 10. transformer short-circuit.Through calculating, under the various states of transformer, related coefficient and amplitude coefficient are shown in table 3 and table 4:
Coefficient table under the various states of table 3 transformer core
Coefficient table under the various states of table 4 Transformer Winding
The related coefficient of table 3 and table 4 and amplitude coefficient draw the standard of judging as the transformer core of table 1 and table 2 and winding failure diagnosis in conjunction with test error:
Table 1 transformer core fault diagnosis judgment criteria table
Table 2 transformer winding fault diagnosis judgment criteria table
From theoretical analysis, described transformer winding vibration signal concentrates on fundamental frequency 100Hz place substantially, and the size of vibration signal is directly proportional to load current I; Described core vibration signal mainly concentrates on 100~400Hz, after 1000Hz, substantially decays to 0.When described Transformer Winding and iron core exist potential faults, its vibrational energy curve, amplitude characteristic parameter will change, and be in particular in being characterized as on vibration signal: in vibration frequency, increased the more harmonic components of high order, and vibration amplitude becomes large.
In view of above-mentioned feature, calculate respectively by experiment described transformer and treat related coefficient and the amplitude coefficient of diagnosis vibration frequency domain sequence and two curves of original vibration data frequency domain sequence, by to transformer, the experimental data under 10 kinds of different running statuses can draw: at transformer core and winding state when good, by the method, calculate both gained related coefficients and be tending towards 1, amplitude coefficient is tending towards 0.From the frequency spectrum angle analysis of vibration signal, illustrate that vibration signal frequency spectrum sequence to be measured compares with frequency spectrum transformer normal operating condition, crest frequency and higher hamonic wave composition are basically identical, in vibration signal to be measured there is not obvious increase and decrease in amplitude simultaneously, and the two corresponding curve is basically identical.At transformer core silicon-steel and winding, occur slightly to become flexible, seriously become flexible while even there is serious flexural deformation, related coefficient is significantly successively decreased, and amplitude coefficient increases progressively simultaneously.Illustrate that now under vibration signal frequency spectrum sequence to be measured and transformer normal operating condition, frequency spectrum phase ratio error is larger, may have new high-order harmonic generation, and vibration amplitude corresponding to each frequency increase, finally cause related coefficient to be successively decreased, amplitude coefficient increases progressively.Accordingly can be by size judgement Transformer Winding and the iron core fault order of severity of two coefficients.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although the present invention is had been described in detail with reference to above-described embodiment, those of ordinary skill in the field are to be understood that: still can modify or be equal to replacement the specific embodiment of the present invention, and do not depart from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of this claim scope.

Claims (9)

1. the Transformer Winding based on vibration performance and an iron core method for diagnosing faults, is characterized in that: the method comprises the following steps:
(1) gather the time domain sequences of original vibration signal and vibration signal to be measured;
(2) described time domain sequences is changed into respectively to frequency domain sequence separately;
(3) determine original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured;
(4) described original core vibration signal frequency domain sequence, original basket vibration signal frequency domain sequence and core vibration signal frequency domain sequence to be measured, basket vibration signal frequency domain sequence to be measured are carried out to data processing;
(5) according to the data processed result of described step (4), carry out fault diagnosis.
2. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 1, is characterized in that: the time domain of the original vibration signal in described step (1) is the original unloaded vibration data of transformer and original load vibration data; The time domain of described vibration signal to be measured is transformer unloaded vibration data to be measured and transformer load vibration data to be measured.
3. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 2, it is characterized in that: the original unloaded vibration data of described transformer is under the light condition after transformer field Installation and Debugging, before putting into operation the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described original load vibration data is under the rated load condition after described transformer puts into operation, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described transformer unloaded vibration data to be measured is under the postrun light condition of described transformer, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring;
Described transformer load vibration data to be measured is under the postrun rated load condition of described transformer, the vibration signal time domain sequences of the described oil tank of transformer surface fixed position measuring.
4. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 3, is characterized in that: the time domain sequences of original vibration signal in described step (2) and the time domain sequences of vibration signal to be measured are changed to the frequency domain sequence converting to separately by fast Fourier respectively;
Described original unloaded vibration data is changed and converted to its frequency domain sequence X (k) by fast Fourier;
Described original load vibration data is changed and converted to its frequency domain sequence Y (k) by fast Fourier;
Described unloaded vibration data to be measured is changed and converted to its frequency domain sequence A (k) by fast Fourier;
Described load vibration data to be measured is changed and converted to its frequency domain sequence B (k) by fast Fourier.
5. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 4, is characterized in that: in described step (3), original core vibration signal frequency domain sequence is that X (k), core vibration signal frequency domain sequence to be measured are A (k);
Described original basket vibration signal frequency domain sequence is Z(k)=Y(k)-X(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
Described basket vibration signal frequency domain sequence C to be measured (k)=B(k)-A(k), wherein k is in data sequence 1,2 ... N arbitrary data, the length that N is data sequence;
By described core vibration signal frequency domain sequence to be measured, be that A (k) is that X (k) carries out data processing with original core vibration signal frequency domain sequence;
Described basket vibration signal frequency domain sequence C to be measured (k) and original basket vibration signal frequency domain sequence Z (k) are carried out to data processing.
6. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 5, is characterized in that: described data processing step is:
(4-1) determine the related coefficient C of described frequency domain sequence A (k) and described frequency domain sequence X (k) 1with amplitude coefficient F 1:
(4-2) determine the related coefficient C of described sequence of differences C (k) and described sequence of differences Z (k) 2with amplitude coefficient F 2.
7. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 6, is characterized in that: described related coefficient determining step is:
C = COV pq D p D q - - - ( 1 )
COV pq = 1 N &Sigma; k = 1 N [ P ( k ) - 1 N &Sigma; k = 1 N P ( k ) ] [ Q ( k ) - 1 N &Sigma; k = 1 N Q ( k ) ] - - - ( 2 )
D p = 1 N &Sigma; k = 1 N [ P ( k ) - 1 N &Sigma; k = 1 N P ( k ) ] 2 D q = 1 N &Sigma; k = 1 N [ Q ( k ) - 1 N &Sigma; k = 1 N Q ( k ) ] 2 - - - ( 3 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k);
C is described related coefficient C1 or C2;
COV pqfor the covariance of described frequency domain sequence A (k) with described frequency domain sequence X (k), or
The covariance of described sequence of differences C (k) and described sequence of differences Z (k);
D pfor the variance of described frequency domain sequence A (k), or
The variance of described sequence of differences C (k)
D qfor the variance of described frequency domain sequence X (k), or
The variance of described sequence of differences Z (k).
8. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 6, is characterized in that: described amplitude coefficient determining step is:
F = &Sigma; k = 1 N [ P ( k ) - Q ( k ) ] &Sigma; k = 1 N Q ( k ) - - - ( 4 )
Wherein, the length that N is data sequence, k is in data sequence 1,2 ... N arbitrary data;
F is described amplitude coefficient F 1or F 2;
P (k) and Q (k) are respectively transformer unloaded vibration frequency domain sequence A to be measured (k) and original unloaded vibration frequency domain sequence X (k), or
P (k) and Q (k) are respectively transformer sequence of differences C to be measured (k) and original difference sequence Z (k).
9. a kind of Transformer Winding and iron core method for diagnosing faults based on vibration performance as claimed in claim 1, is characterized in that: described step (5) is according to the related coefficient C in table 1 1with amplitude coefficient F 1span and the related coefficient C in table 2 2with amplitude coefficient F 2span transformer core and winding are carried out to fault diagnosis.
Table 1
Table 2
CN201310481262.XA 2013-10-15 2013-10-15 A kind of Transformer Winding based on vibration performance and iron core method for diagnosing faults Active CN103513138B (en)

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CN104034289A (en) * 2014-07-04 2014-09-10 国家电网公司 Condition monitoring method and device for windings of power transformer
CN104034289B (en) * 2014-07-04 2016-11-30 国家电网公司 A kind of Winding in Power Transformer state monitoring method and device
CN104182626B (en) * 2014-08-15 2017-05-03 江苏国电南自海吉科技有限公司 Rotating equipment fault recognition method based on bidimensional curve similarity and mathematical statistics
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
CN104655967B (en) * 2015-03-17 2017-08-01 国家电网公司 Distribution transformer basket vibration signal characteristic quantity extracting method
CN104964738A (en) * 2015-06-10 2015-10-07 国家电网公司 Noise separation-based power transformer noise assessment method
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CN107101715A (en) * 2017-05-25 2017-08-29 贵州电网有限责任公司 A kind of transformer vibration signal amplitude-frequency characteristic amount extracting method based on intersection small echo
CN107132451A (en) * 2017-05-31 2017-09-05 广州供电局有限公司 The winding state detection method and system of transformer
CN110187219A (en) * 2019-05-21 2019-08-30 国家电网有限公司 A kind of power transformer iron core method for diagnosing faults based on vibratory drilling method model
CN110161363A (en) * 2019-06-20 2019-08-23 广东石油化工学院 Running state of transformer vibration sound detection method and system based on dominant frequency token state

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