CN115542058A - Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium - Google Patents
Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium Download PDFInfo
- Publication number
- CN115542058A CN115542058A CN202211321929.5A CN202211321929A CN115542058A CN 115542058 A CN115542058 A CN 115542058A CN 202211321929 A CN202211321929 A CN 202211321929A CN 115542058 A CN115542058 A CN 115542058A
- Authority
- CN
- China
- Prior art keywords
- vibration
- data
- bias
- magnetic
- transformer
- 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 discloses a method, a device, terminal equipment and a medium for monitoring direct current magnetic bias of a transformer. According to the method, the vibration increment data are obtained through analysis based on the vibration signal of the target transformer, the magnetic bias is calculated and evaluated according to the vibration increment data, errors caused by the fact that the vibration amplitude is influenced by environmental factors can be reduced, and the accuracy of monitoring the direct-current magnetic bias of the transformer is improved.
Description
Technical Field
The invention relates to the field of inspection and detection services, in particular to a method and a device for monitoring direct current magnetic bias of a transformer, terminal equipment and a medium.
Background
The power grid system in China is a complex direct current and alternating current hybrid power transmission system. The construction scale of a direct-current transmission system is gradually increased, so that the direct-current magnetic biasing of the transformer and related problems are more serious, the safe operation of the transformer is greatly threatened, and the direct-current transmission system attracts wide attention. The dc bias affects the proper operation of the transformer in many ways. The direct current magnetic biasing can cause the distortion of the exciting current of the transformer, thereby increasing the harmonic wave and the reactive loss. The leakage flux increases and affects two ways. On one hand, the eddy current loss is increased, the temperature is increased, and further the transformer is locally overheated; on the other hand, the electromotive force of the transformer winding increases, which in turn leads to the aggravation of the transformer vibration. The vibration is intensified, and the noise of the transformer is increased. The direct current magnetic biasing phenomenon of the transformer can cause the misoperation of relay protection equipment of a power system, even large-area power failure accidents, and extremely adverse effects are generated on the safe operation of a power grid. Therefore, the identification of the dc magnetic bias phenomenon and the identification of the dc magnetic bias degree of the transformer are particularly important for the safe operation of the transformer.
In the prior art, the direct current magnetic biasing degree is judged by calculating the amplitude of the vibration acceleration signal, and the accuracy of the direct current magnetic biasing degree obtained by monitoring in the prior art is greatly reduced due to the fact that the amplitude of the vibration acceleration signal is suddenly changed under the influence of environmental factors.
Therefore, a transformer dc bias monitoring strategy is urgently needed to solve the problem of low accuracy of the current transformer dc bias monitoring.
Disclosure of Invention
The embodiment of the invention provides a method and a device for monitoring direct current magnetic bias of a transformer, terminal equipment and a medium, so as to improve the accuracy of monitoring the direct current magnetic bias of the transformer.
In order to solve the above problem, an embodiment of the present invention provides a method for monitoring dc magnetic bias of a transformer, including:
obtaining a vibration signal of a target transformer, and analyzing to obtain a plurality of groups of vibration amplitude data corresponding to the vibration signal;
obtaining a plurality of groups of vibration standard data of the target transformer, and calculating a plurality of groups of vibration increment data of the target transformer according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data; each group of vibration amplitude data corresponds to each group of vibration standard data one to one;
substituting the plurality of groups of vibration increment data into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer;
and comparing the magnetic biasing coefficient with a preset magnetic biasing evaluation range to obtain the direct-current magnetic biasing degree of the target transformer.
As an improvement of the above scheme, the method further comprises the following steps:
substituting the plurality of groups of vibration amplitude data into a harmonic distortion rate calculation formula to calculate the harmonic distortion rate of the target transformer; wherein, the harmonic distortion rate calculation formula is specifically as follows:
wherein THD is the harmonic distortion rate; a. The n A set of vibration acceleration signal amplitudes at n Hz frequency; the vibration amplitude data includes the vibration acceleration signal amplitude.
As an improvement of the above scheme, the obtaining of the plurality of sets of vibration standard data of the target transformer and the calculating of the plurality of sets of vibration increment data of the target transformer according to the plurality of sets of vibration amplitude data and the plurality of sets of vibration standard data specifically include:
acquiring a plurality of groups of vibration standard data of the target transformer;
substituting each group of vibration amplitude data and each group of vibration standard data with the same vibration frequency into a difference value calculation formula according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data to calculate and obtain each group of harmonic wave increment of the target transformer; wherein the difference value calculation formula is as follows:
ΔA n ＝A n -A n * ；
in the formula,. DELTA.A n For harmonic increments, A n Is a set of vibration acceleration signal amplitudes at n Hz frequency, A n * A group of vibration standard acceleration signal amplitudes under the frequency of n Hz; the vibration amplitude data comprise the vibration acceleration signal amplitude, and the vibration standard data comprise the vibration standard acceleration signal amplitude;
and summarizing all harmonic wave increment obtained by calculation to obtain a plurality of groups of vibration increment data of the target transformer.
As an improvement of the above scheme, substituting the plurality of sets of vibration increment data into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer, specifically:
extracting odd harmonic vibration acceleration signal increments from the plurality of groups of vibration increment data;
substituting the odd harmonic vibration acceleration signal increment into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer; wherein, the magnetic bias calculation formula is as follows:
wherein K is the bias coefficient, Δ A 50 、ΔA 150 、ΔA 250 、ΔA 350 、ΔA 450 For said odd harmonic vibration acceleration signal increment, said Δ A 100 The vibration acceleration increment is at the frequency of 100 Hz.
As an improvement of the above scheme, the comparing the magnetic bias coefficient with a preset magnetic bias evaluation range to obtain the magnetic bias degree of the target transformer specifically includes:
the preset bias evaluation range comprises: a first magnetic bias range, a second magnetic bias range, a third magnetic bias range, a fourth magnetic bias range, and a fifth magnetic bias range; the degree of magnetic bias includes: a first magnetic bias, a second magnetic bias, a third magnetic bias, a fourth magnetic bias and 0;
comparing the bias coefficient with a preset bias evaluation range: when the magnetic biasing coefficient is in a first magnetic biasing range, obtaining a first magnetic biasing degree; when the magnetic biasing coefficient is in a second magnetic biasing range, obtaining a second magnetic biasing degree; when the magnetic biasing coefficient is in a third magnetic biasing range, obtaining a third magnetic biasing degree; when the magnetic biasing coefficient is in a fourth magnetic biasing range, obtaining a fourth magnetic biasing degree; when the magnetic biasing coefficient is in a fifth magnetic biasing range, obtaining that the magnetic biasing degree is 0; wherein the degree of biasing comprises: a first degree of biasing, a second degree of biasing, a third degree of biasing, and a fourth degree of biasing.
As an improvement of the above scheme, the obtaining of the vibration signal of the target transformer and the analyzing of the vibration signal to obtain a plurality of sets of vibration amplitude data corresponding to the vibration signal specifically include:
receiving a vibration acceleration signal of a target transformer acquired by a vibration sensor; wherein the vibration signal comprises the vibration acceleration signal;
carrying out Fourier decomposition on the vibration acceleration signal in a time domain to obtain a frequency domain waveform of a target transformer;
and extracting and obtaining vibration acceleration signal amplitudes corresponding to a plurality of groups of preset vibration frequency ranges according to the frequency domain waveform.
As an improvement of the above scheme, the obtaining a vibration signal of a target transformer, and analyzing to obtain a plurality of sets of vibration amplitude data corresponding to the vibration signal, further includes:
receiving a plurality of vibration acceleration signals of a target transformer, which are acquired by a plurality of vibration sensors; wherein the vibration signal comprises the plurality of vibration acceleration signals;
respectively carrying out Fourier decomposition on each vibration acceleration signal in a time domain to obtain a plurality of frequency domain waveforms of the target transformer;
respectively extracting a plurality of groups of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, substituting each group of vibration acceleration signal amplitudes corresponding to the plurality of frequency domain waveforms into an average calculation formula within a preset vibration frequency range, and calculating to obtain vibration acceleration signal amplitudes corresponding to the plurality of groups of preset vibration frequency ranges; wherein, the average calculation formula is specifically:
in the formula, A n Is a set of vibration acceleration signal amplitudes at n Hz frequency, A nm The amplitude of a group of vibration acceleration signals corresponding to the mth vibration sensor under the frequency of n Hz is obtained, and m is the number of the vibration sensors.
Correspondingly, an embodiment of the present invention further provides a transformer dc magnetic bias monitoring device, including: the device comprises a data acquisition module, a first data calculation module, a second data calculation module and a result generation module;
the data acquisition module is used for acquiring vibration signals of a target transformer and analyzing and acquiring a plurality of groups of vibration amplitude data corresponding to the vibration signals;
the first data calculation module is used for acquiring a plurality of groups of vibration standard data of the target transformer and calculating a plurality of groups of vibration increment data of the target transformer according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data; each group of vibration amplitude data corresponds to each group of vibration standard data one to one;
the second data calculation module is used for substituting the groups of vibration increment data into a magnetic bias calculation formula to calculate and obtain a magnetic bias coefficient of the target transformer;
and the result generation module is used for comparing the magnetic biasing coefficient with a preset magnetic biasing evaluation range to obtain the direct-current magnetic biasing degree of the target transformer.
As an improvement of the above scheme, the method further comprises the following steps: a third data calculation module; the third data calculation module is used for substituting the groups of vibration amplitude data into a harmonic distortion calculation formula to calculate the harmonic distortion of the target transformer; wherein, the harmonic distortion rate calculation formula is specifically as follows:
wherein THD is the harmonic distortion rate; a. The n A set of vibration acceleration signal amplitudes at n Hz frequency; the vibration amplitude data includes the vibration acceleration signal amplitude.
As an improvement of the above solution, the first data calculation module includes: the device comprises a first data acquisition unit, a difference value calculation unit and a data summarization unit;
the first data acquisition unit is used for acquiring a plurality of groups of vibration standard data of the target transformer;
the difference value calculation unit is used for substituting each group of vibration amplitude data and each group of vibration standard data with the same vibration frequency into a difference value calculation formula according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data to calculate and obtain each group of harmonic wave increment of the target transformer; wherein the difference value calculation formula is as follows:
ΔA n ＝A n -A n * ；
in the formula,. DELTA.A n For harmonic increments, A n Is a set of vibration acceleration signal amplitude values at n Hz frequency, A n * A group of vibration standard acceleration signal amplitudes under the frequency of n Hz; the vibration amplitude data includes the vibration acceleration signal amplitude, andthe vibration standard data comprises the vibration standard acceleration signal amplitude;
and the data summarizing unit is used for summarizing all the harmonic wave increment obtained through calculation and obtaining a plurality of groups of vibration increment data of the target transformer.
As an improvement of the above solution, the second data calculation module includes: a data extraction unit and a bias calculation unit;
the data extraction unit is used for extracting odd harmonic vibration acceleration signal increments from the plurality of groups of vibration increment data;
the bias magnet calculation unit is used for substituting the odd harmonic vibration acceleration signal increment into a bias magnet calculation formula to calculate and obtain a bias magnet coefficient of the target transformer; wherein, the magnetic bias calculation formula is as follows:
wherein K is the bias coefficient, Δ A 50 、ΔA 150 、ΔA 250 、ΔA 350 、ΔA 450 For said odd harmonic vibration acceleration signal increment, said Δ A 100 The vibration acceleration increment is at the frequency of 100 Hz.
As an improvement of the above solution, the result generation module includes: a category unit and a comparison unit;
the classification unit is used for the preset bias evaluation range and comprises: a first magnetic bias range, a second magnetic bias range, a third magnetic bias range, a fourth magnetic bias range, and a fifth magnetic bias range; the degree of magnetic bias includes: a first degree of bias, a second degree of bias, a third degree of bias, a fourth degree of bias, and 0;
the comparison unit is used for comparing the magnetic bias coefficient with a preset magnetic bias evaluation range: when the magnetic biasing coefficient is in a first magnetic biasing range, obtaining a first magnetic biasing degree; when the magnetic biasing coefficient is in a second magnetic biasing range, obtaining a second magnetic biasing degree; when the magnetic biasing coefficient is in a third magnetic biasing range, obtaining a third magnetic biasing degree; when the magnetic biasing coefficient is in a fourth magnetic biasing range, obtaining a fourth magnetic biasing degree; when the magnetic biasing coefficient is in a fifth magnetic biasing range, obtaining that the magnetic biasing degree is 0; wherein the degree of biasing comprises: a first degree of bias, a second degree of bias, a third degree of bias, and a fourth degree of bias.
As an improvement of the above scheme, the data acquisition module includes: the device comprises a data first receiving unit, a data analyzing unit and a data converting unit;
the data receiving unit is used for receiving a vibration acceleration signal of the target transformer acquired by the vibration sensor; wherein the vibration signal comprises the vibration acceleration signal;
the data analysis unit is used for carrying out Fourier decomposition on the vibration acceleration signal in a time domain to obtain a frequency domain waveform of the target transformer;
and the data extraction unit is used for extracting and obtaining vibration acceleration signal amplitudes corresponding to a plurality of groups of preset vibration frequency ranges according to the frequency domain waveform.
As an improvement of the above scheme, the data acquisition module further includes: the data second receiving unit, the data second analyzing unit and the data averaging unit;
the second data receiving unit is used for receiving a plurality of vibration acceleration signals of the target transformer, which are acquired by a plurality of vibration sensors; wherein the vibration signal comprises the plurality of vibration acceleration signals;
the second data analysis unit is used for performing Fourier decomposition on each vibration acceleration signal in a time domain to obtain a plurality of frequency domain waveforms of the target transformer;
the data averaging unit is used for respectively extracting a plurality of groups of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, substituting each group of vibration acceleration signal amplitudes corresponding to the plurality of frequency domain waveforms into an average calculation formula in a preset vibration frequency range, and calculating to obtain vibration acceleration signal amplitudes corresponding to the plurality of groups of preset vibration frequency ranges; wherein, the average calculation formula is specifically:
in the formula, A n Is a set of vibration acceleration signal amplitudes at n Hz frequency, A nm The amplitude of a group of vibration acceleration signals corresponding to the mth vibration sensor under the frequency of n Hz is obtained, and m is the number of the vibration sensors.
Accordingly, an embodiment of the present invention further provides a computer terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the transformer dc bias monitoring method according to the present invention is implemented.
Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the transformer dc magnetic bias monitoring method according to the present invention.
Therefore, the invention has the following beneficial effects:
the invention provides a method for monitoring direct current magnetic bias of a transformer, which comprises the steps of analyzing an obtained vibration signal of a target transformer to obtain vibration average data of the target transformer, calculating based on the vibration average data and vibration standard data of the target transformer to obtain vibration increment data of the target transformer, substituting the vibration increment data into a magnetic bias calculation formula to calculate and obtain a magnetic bias coefficient, and finally comparing the magnetic bias coefficient with a preset magnetic bias evaluation range to obtain the direct current magnetic bias degree of the target transformer, thereby realizing monitoring of direct current magnetic bias of the transformer. According to the invention, based on the vibration signal of the target transformer, the vibration increment data is obtained by analysis, and the bias magnet is calculated and evaluated by using the vibration increment data, so that the error caused by the influence of environmental factors on the vibration amplitude can be reduced, and the accuracy of monitoring the direct current bias magnet of the transformer is improved.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring dc magnetic bias of a transformer according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a transformer dc magnetic bias monitoring device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a vibration sensor mounting location provided by an embodiment of the invention;
fig. 4 is a schematic structural diagram of a transformer dc magnetic bias monitoring system according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for monitoring dc magnetic bias of a transformer according to an embodiment of the present invention, as shown in fig. 1, the present embodiment includes steps 101 to 104, and each step specifically includes the following steps:
step 101: and obtaining a vibration signal of the target transformer, and analyzing to obtain a plurality of groups of vibration amplitude data corresponding to the vibration signal.
As an improvement of this embodiment, the obtaining a vibration signal of a target transformer, and analyzing to obtain a plurality of sets of vibration amplitude data corresponding to the vibration signal specifically includes:
receiving a vibration acceleration signal of a target transformer acquired by a vibration sensor; wherein the vibration signal comprises the vibration acceleration signal;
carrying out Fourier decomposition on the vibration acceleration signal in a time domain to obtain a frequency domain waveform of a target transformer;
and extracting and obtaining vibration acceleration signal amplitudes corresponding to a plurality of groups of preset vibration frequency ranges according to the frequency domain waveform.
As an improvement of this embodiment, the obtaining a vibration signal of a target transformer, analyzing and obtaining a plurality of sets of vibration amplitude data corresponding to the vibration signal, further includes:
receiving a plurality of vibration acceleration signals of a target transformer, which are acquired by a plurality of vibration sensors; wherein the vibration signal comprises the plurality of vibration acceleration signals;
respectively carrying out Fourier decomposition on each vibration acceleration signal in a time domain to obtain a plurality of frequency domain waveforms of the target transformer;
respectively extracting a plurality of groups of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, substituting each group of vibration acceleration signal amplitudes corresponding to the plurality of frequency domain waveforms into an average calculation formula within a preset vibration frequency range, and calculating to obtain vibration acceleration signal amplitudes corresponding to the plurality of groups of preset vibration frequency ranges; wherein, the average calculation formula is specifically:
in the formula, A n Is a set of vibration acceleration signal amplitude values at n Hz frequency, A nm The vibration acceleration signal amplitude is a group of vibration acceleration signal amplitudes corresponding to the mth vibration sensor under the frequency of n Hz, and m is the number of the vibration sensors.
In the embodiment, the vibration sensor collects vibration data of a target transformer, performs Fourier decomposition on the vibration data, generates a frequency domain waveform, and extracts a vibration acceleration signal amplitude of 50Hz-500 Hz.
In a specific embodiment, because the direct-current magnetic biasing phenomenon of the transformer can cause the vibration of the winding and the iron core, the real-time monitoring of the iron core and the winding of the transformer can not be realized generally, but the vibration condition of the winding and the iron core can be reflected to a certain extent by measuring the vibration of an oil tank of the transformer;
collecting vibration signals of the transformer under direct current magnetic bias by adopting the surface of an oil tank: the sensors are respectively arranged at 1/4, 2/4 and 3/4 of the bottom of the long side of the oil tank, and the three sensors are arranged far away from the reinforcing rib structure so as to reduce the nonlinear influence of the tank body structure; in order to more accurately obtain the vibration data of the transformer core winding, the vibration condition of the transformer is represented by the vibration amplitude values of the three measuring points and the average value of the frequency spectrum;
three sensors obtain three groups of vibration acceleration signal amplitude A n1 、A n2 、A n3 Substituting the average value calculation formula:
in the formula, A n Is the vibration acceleration signal amplitude under the frequency of n Hz.
In a specific embodiment, to better illustrate the installation position of the sensor, please refer to fig. 3, which includes: target transformer related components 301 and a vibrating transformer 302;
wherein the target transformer related component 301 may be a tank.
In a specific embodiment, the sampling frequency of the vibration sensor for acquiring the vibration data of the transformer can be set to be three minutes, and the sampling frequency is at least more than twice of 500Hz due to the need of acquiring the vibration acceleration signal of 50Hz-500 Hz.
Preferably, the sampling frequency of this embodiment is 2kHz.
In a specific embodiment, the vibration sensor may be an acceleration sensor using LC0166T piezoelectric type.
Step 102: obtaining a plurality of groups of vibration standard data of the target transformer, and calculating a plurality of groups of vibration increment data of the target transformer according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data; and each group of vibration amplitude data corresponds to each group of vibration standard data one to one.
As an improvement of this embodiment, the obtaining of the multiple sets of vibration standard data of the target transformer and the calculating of the multiple sets of vibration increment data of the target transformer according to the multiple sets of vibration amplitude data and the multiple sets of vibration standard data specifically include:
acquiring a plurality of groups of vibration standard data of the target transformer;
substituting each group of vibration amplitude data and each group of vibration standard data with the same vibration frequency into a difference value calculation formula according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data to calculate and obtain each group of harmonic wave increment of the target transformer; wherein the difference value calculation formula is as follows:
ΔA n ＝A n -A n * ；
in the formula,. DELTA.A n For harmonic increments, A n Is a set of vibration acceleration signal amplitudes at n Hz frequency, A n * A group of vibration standard acceleration signal amplitudes under the frequency of n Hz; the vibration amplitude data comprise the vibration acceleration signal amplitude, and the vibration standard data comprise the vibration standard acceleration signal amplitude;
and summarizing all the harmonic wave increment obtained by calculation, and obtaining a plurality of groups of vibration increment data of the target transformer.
In this embodiment, the amplitude of the vibration standard acceleration signal of the transformer in the normal operation state (i.e., the vibration standard data according to the present invention) is obtained, the amplitude of the vibration acceleration signal obtained by calculation is subtracted from the amplitude of the vibration standard acceleration signal, so as to obtain a harmonic increment by calculation, and the harmonic increments obtained by calculation are summarized to obtain vibration increment data.
Step 103: and substituting the groups of vibration increment data into a magnetic biasing calculation formula to calculate and obtain the magnetic biasing coefficient of the target transformer.
As an improvement of this embodiment, the substituting the plurality of sets of vibration increment data into a magnetic bias calculation formula to calculate and obtain the magnetic bias coefficient of the target transformer specifically includes:
extracting odd harmonic vibration acceleration signal increments from the plurality of groups of vibration increment data;
substituting the odd harmonic vibration acceleration signal increment into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer; wherein, the magnetic bias calculation formula is as follows:
wherein K is the bias coefficient, Δ A 50 、ΔA 150 、ΔA 250 、ΔA 350 、ΔA 450 For said odd harmonic vibration acceleration signal increment, said Δ A 100 The vibration acceleration increment is at the frequency of 100 Hz.
In the embodiment, because the dc bias occurs to the transformer, the harmonic components increase, wherein the odd harmonic component increases speed faster than the even harmonic component, so the odd harmonic vibration acceleration signal increment is taken as the molecule.
Step 104: and comparing the bias coefficient with a preset bias evaluation range to obtain the DC bias degree of the target transformer.
As an improvement of this embodiment, the comparing the magnetic bias coefficient with a preset magnetic bias evaluation range to obtain the magnetic bias degree of the target transformer specifically includes:
the preset bias evaluation range comprises: a first magnetic bias range, a second magnetic bias range, a third magnetic bias range, a fourth magnetic bias range, and a fifth magnetic bias range; the degree of magnetic bias includes: a first degree of bias, a second degree of bias, a third degree of bias, a fourth degree of bias, and 0;
comparing the bias coefficient with a preset bias evaluation range: when the magnetic biasing coefficient is in a first magnetic biasing range, obtaining a first magnetic biasing degree; when the magnetic biasing coefficient is in a second magnetic biasing range, obtaining a second magnetic biasing degree; when the magnetic biasing coefficient is in a third magnetic biasing range, obtaining a third magnetic biasing degree; when the magnetic bias coefficient is in a fourth magnetic bias range, obtaining a fourth magnetic bias degree; when the magnetic biasing coefficient is in a fifth magnetic biasing range, obtaining that the magnetic biasing degree is 0; wherein the degree of biasing comprises: a first degree of biasing, a second degree of biasing, a third degree of biasing, and a fourth degree of biasing.
In a specific embodiment, K is a magnetic bias coefficient, and when K is less than 0.2 (i.e. the fifth magnetic bias range in the claims of the present invention), the magnetic bias degree is 0; when K is more than 0.2 and less than 1.7 (namely the first magnetic bias range in the claims of the invention), the magnetic bias degree is A (namely the first magnetic bias degree in the claims of the invention); when K < 1.7 < 4.3 (i.e., the second bias range in the claims), the degree of bias is B (i.e., the second bias range in the claims); when K is more than 4.3 and less than 7.0 (namely, the third magnetic bias range in the claims of the invention), the magnetic bias degree is C (namely, the third magnetic bias degree in the claims of the invention); when K > 7.0 (i.e., the fourth degree of magnetic bias as claimed in the present invention), the degree of magnetic bias is D (i.e., the fourth degree of magnetic bias as claimed in the present invention); A. b, C, D stages of direct current levels increase in sequence.
As an improvement of this embodiment, the method further includes:
substituting the plurality of groups of vibration amplitude data into a harmonic distortion rate calculation formula to calculate the harmonic distortion rate of the target transformer; wherein, the harmonic distortion rate calculation formula is specifically as follows:
wherein THD is the harmonic distortion rate; a. The n A set of vibration acceleration signal amplitudes at n Hz frequency; the vibration amplitude data includes the vibration acceleration signal amplitude.
In one embodiment, the harmonic distortion rate increases as the DC current increases. However, when the dc amount is increased to a certain value, the harmonic distortion rate has a peak value, and the harmonic distortion rate is decreased after the dc amount is increased. And (3) observing increase and decrease of the THD value by calculating the THD at each sampling moment so as to observe the variation trend of the DC magnetic biasing degree.
In a specific embodiment, the vibration signal of the target transformer is acquired by the vibration transformer every three minutes, the vibration signal is analyzed and calculated based on the transformer direct-current magnetic bias monitoring method used by the invention, and the direct-current magnetic bias of the target transformer is monitored in real time according to the obtained magnetic bias degree and harmonic distortion rate.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a transformer dc magnetic bias monitoring system according to an embodiment of the present invention, including: a target transformer 401, a vibration sensor 402, and a user terminal 403; the target transformer 401 is connected with the vibration sensor 402, and the user terminal 403 is connected with the vibration sensor 402; the user terminal 403 is applied to the method for monitoring dc magnetic bias of the transformer according to the present invention.
In the embodiment, the obtained vibration signal of the target transformer is analyzed to obtain vibration average data of the target transformer, calculation is performed based on the vibration average data and the vibration standard data of the target transformer to obtain vibration increment data of the target transformer, the vibration increment data is substituted into a magnetic bias calculation formula to calculate and obtain a magnetic bias coefficient, and finally the magnetic bias coefficient is compared with a preset magnetic bias evaluation range to obtain the direct current magnetic bias degree of the target transformer, so that the monitoring of the direct current magnetic bias of the transformer is realized. The embodiment not only can judge the direct current magnetic biasing phenomenon and calculate and obtain the direct current magnetic biasing degree based on the vibration deceleration signal increment, but also can monitor the direct current magnetic biasing change trend through the harmonic distortion rate, and greatly improves the calculation accuracy of the direct current magnetic biasing degree.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of a transformer dc magnetic bias monitoring device according to an embodiment of the present invention, including: a data acquisition module 201, a first data calculation module 202, a second data calculation module 203 and a result generation module 204;
the data acquisition module 201 is configured to acquire a vibration signal of a target transformer, and analyze the vibration signal to obtain a plurality of sets of vibration amplitude data corresponding to the vibration signal;
the first data calculation module 202 is configured to obtain a plurality of sets of vibration standard data of the target transformer, and calculate a plurality of sets of vibration increment data of the target transformer according to the plurality of sets of vibration amplitude data and the plurality of sets of vibration standard data; each group of vibration amplitude data corresponds to each group of vibration standard data one to one;
the second data calculation module 203 is configured to substitute the sets of vibration increment data into a magnetic bias calculation formula to calculate and obtain a magnetic bias coefficient of the target transformer;
the result generating module 204 is configured to compare the bias coefficient with a preset bias evaluation range, and obtain a dc bias degree of the target transformer.
As an improvement of the above scheme, the method further comprises the following steps: a third data calculation module 205; the third data calculation module 205 is configured to substitute the sets of vibration amplitude data into a harmonic distortion calculation formula to calculate a harmonic distortion of the target transformer; wherein, the harmonic distortion rate calculation formula is specifically as follows:
wherein THD is the harmonic distortion rate; a. The n A set of vibration acceleration signal amplitudes at n Hz frequency; the vibration amplitude data includes the vibration acceleration signal amplitude.
As an improvement of the above solution, the first data calculation module 202 includes: the device comprises a first data acquisition unit, a difference value calculation unit and a data summarization unit;
the first data acquisition unit is used for acquiring a plurality of groups of vibration standard data of the target transformer;
the difference value calculation unit is used for substituting each group of vibration amplitude data and each group of vibration standard data with the same vibration frequency into a difference value calculation formula according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data to calculate and obtain each group of harmonic wave increment of the target transformer; wherein the difference value calculation formula is as follows:
ΔA n ＝A n -A n * ；
in the formula,. DELTA.A n For harmonic increments, A n Is a set of vibration acceleration signal amplitude values at n Hz frequency, A n * A group of vibration standard acceleration signal amplitudes under the frequency of n Hz; the vibration amplitude data comprise the vibration acceleration signal amplitude, and the vibration standard data comprise the vibration standard acceleration signal amplitude;
and the data summarizing unit is used for summarizing all the harmonic wave increment obtained through calculation and obtaining a plurality of groups of vibration increment data of the target transformer.
As an improvement of the above solution, the second data calculation module 203 includes: a data extraction unit and a bias calculation unit;
the data extraction unit is used for extracting odd harmonic vibration acceleration signal increments from the plurality of groups of vibration increment data;
the bias magnet calculation unit is used for substituting the odd harmonic vibration acceleration signal increment into a bias magnet calculation formula to calculate and obtain a bias magnet coefficient of the target transformer; wherein, the magnetic bias calculation formula is as follows:
wherein K is the bias coefficient, Δ A 50 、ΔA 150 、ΔA 250 、ΔA 350 、ΔA 450 For said odd harmonic vibration acceleration signal increment, said Δ A 100 The vibration acceleration increment is at the frequency of 100 Hz.
As an improvement to the above solution, the result generation module 204 includes: a category unit and a comparison unit;
the category unit is configured to determine the preset bias evaluation range by: a first magnetic bias range, a second magnetic bias range, a third magnetic bias range, a fourth magnetic bias range, and a fifth magnetic bias range; the degree of magnetic bias includes: a first degree of bias, a second degree of bias, a third degree of bias, a fourth degree of bias, and 0;
the comparison unit is used for comparing the magnetic bias coefficient with a preset magnetic bias evaluation range: when the magnetic biasing coefficient is in a first magnetic biasing range, obtaining a first magnetic biasing degree; when the magnetic biasing coefficient is in a second magnetic biasing range, obtaining a second magnetic biasing degree; when the magnetic biasing coefficient is in a third magnetic biasing range, obtaining a third magnetic biasing degree; when the magnetic biasing coefficient is in a fourth magnetic biasing range, obtaining a fourth magnetic biasing degree; when the magnetic biasing coefficient is in a fifth magnetic biasing range, obtaining that the magnetic biasing degree is 0; wherein the degree of biasing comprises: a first degree of biasing, a second degree of biasing, a third degree of biasing, and a fourth degree of biasing.
As an improvement of the above scheme, the data obtaining module 201 includes: the device comprises a data first receiving unit, a data analyzing unit and a data converting unit;
the data receiving unit is used for receiving vibration acceleration signals of the target transformer, which are acquired by the vibration sensor; wherein the vibration signal comprises the vibration acceleration signal;
the data analysis unit is used for carrying out Fourier decomposition on the vibration acceleration signal in a time domain to obtain a frequency domain waveform of the target transformer;
and the data extraction unit is used for extracting and obtaining vibration acceleration signal amplitudes corresponding to a plurality of groups of preset vibration frequency ranges according to the frequency domain waveform.
As an improvement of the above scheme, the data obtaining module 201 further includes: the data second receiving unit, the data second analyzing unit and the data averaging unit;
the second data receiving unit is used for receiving a plurality of vibration acceleration signals of the target transformer, which are acquired by a plurality of vibration sensors; wherein the vibration signal comprises the plurality of vibration acceleration signals;
the second data analysis unit is used for performing Fourier decomposition on each vibration acceleration signal in a time domain to obtain a plurality of frequency domain waveforms of the target transformer;
the data averaging unit is used for respectively extracting a plurality of groups of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, substituting each group of vibration acceleration signal amplitudes corresponding to the plurality of frequency domain waveforms into an average calculation formula in a preset vibration frequency range, and calculating to obtain vibration acceleration signal amplitudes corresponding to the plurality of groups of preset vibration frequency ranges; wherein, the average calculation formula is specifically:
in the formula, A n Is a set of vibration acceleration signal amplitudes at n Hz frequency, A nm The vibration acceleration signal amplitude is a group of vibration acceleration signal amplitudes corresponding to the mth vibration sensor under the frequency of n Hz, and m is the number of the vibration sensors.
In the embodiment, a vibration signal of a target transformer is acquired through a data acquisition module, vibration amplitude data is obtained through analysis, the vibration amplitude data is calculated through a first data calculation module to obtain vibration increment data, the vibration increment data is calculated through a second data calculation module to obtain a magnetic bias coefficient, and finally the magnetic bias coefficient is compared with a preset magnetic bias evaluation range through a result generation module to obtain the direct current magnetic bias degree of the target transformer, so that the direct current magnetic bias of the transformer is monitored. In the embodiment, based on the vibration signal of the target transformer, the vibration increment data is analyzed and obtained, and the magnetic bias is calculated and evaluated by using the vibration increment data, so that the error caused by the influence of environmental factors on the vibration amplitude can be reduced, and the accuracy of monitoring the direct current magnetic bias of the transformer is improved.
EXAMPLE III
Referring to fig. 5, fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
A terminal device of this embodiment includes: a processor 501, a memory 502 and a computer program stored in said memory 502 and executable on said processor 501. The processor 501, when executing the computer program, implements the steps of the above-described transformer dc bias monitoring methods in embodiments, for example, all the steps of the transformer dc bias monitoring method shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules in the device embodiments, for example: all modules of the transformer dc bias monitoring device shown in fig. 2.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, a device where the computer-readable storage medium is located is controlled to execute the method for monitoring dc magnetic bias of a transformer according to any of the above embodiments.
It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a terminal device and does not constitute a limitation of a terminal device, and may include more or less components than those shown, or combine certain components, or different components, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 501 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor 501 is a control center of the terminal device and connects various parts of the whole terminal device by using various interfaces and lines.
The memory 502 may be used for storing the computer programs and/or modules, and the processor 501 may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the terminal device integrated module/unit can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for monitoring direct current magnetic bias of a transformer is characterized by comprising the following steps:
obtaining a vibration signal of a target transformer, and analyzing to obtain a plurality of groups of vibration amplitude data corresponding to the vibration signal;
obtaining a plurality of groups of vibration standard data of the target transformer, and calculating a plurality of groups of vibration increment data of the target transformer according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data; each group of vibration amplitude data corresponds to each group of vibration standard data one to one;
substituting the plurality of groups of vibration increment data into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer;
and comparing the magnetic biasing coefficient with a preset magnetic biasing evaluation range to obtain the direct-current magnetic biasing degree of the target transformer.
2. The method for monitoring direct current magnetic bias of a transformer according to claim 1, further comprising:
substituting the plurality of groups of vibration amplitude data into a harmonic distortion rate calculation formula to calculate the harmonic distortion rate of the target transformer; wherein, the harmonic distortion rate calculation formula is specifically as follows:
wherein THD is the harmonic distortion rate; a. The n A set of vibration additives at a frequency of nHzA velocity signal amplitude; the vibration amplitude data includes the vibration acceleration signal amplitude.
3. The method for monitoring direct current magnetic bias of a transformer according to claim 2, wherein the obtaining of the plurality of sets of vibration standard data of the target transformer is performed to calculate and obtain a plurality of sets of vibration increment data of the target transformer according to the plurality of sets of vibration amplitude data and the plurality of sets of vibration standard data, and specifically comprises:
acquiring a plurality of groups of vibration standard data of the target transformer;
substituting each group of vibration amplitude data and each group of vibration standard data with the same vibration frequency into a difference value calculation formula according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data to calculate and obtain each group of harmonic wave increment of the target transformer; wherein the difference value calculation formula is as follows:
ΔA n ＝A n -A n * ；
in the formula,. DELTA.A n For harmonic increments, A n A set of vibration acceleration signal amplitudes at nHz frequency, A n * A group of vibration standard acceleration signal amplitudes under the frequency of nHz; the vibration amplitude data comprise the vibration acceleration signal amplitude, and the vibration standard data comprise the vibration standard acceleration signal amplitude;
and summarizing all the harmonic wave increment obtained by calculation, and obtaining a plurality of groups of vibration increment data of the target transformer.
4. The method for monitoring direct current magnetic bias of a transformer according to claim 2, wherein the step of substituting the plurality of sets of vibration increment data into a magnetic bias calculation formula to calculate and obtain the magnetic bias coefficient of the target transformer comprises the following steps:
extracting odd harmonic vibration acceleration signal increments from the plurality of groups of vibration increment data;
substituting the odd harmonic vibration acceleration signal increment into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer; wherein, the magnetic bias calculation formula is as follows:
wherein K is the bias coefficient, Δ A 50 、ΔA 150 、ΔA 250 、ΔA 350 、ΔA 450 For said odd harmonic vibration acceleration signal increment, said Δ A 100 The vibration acceleration increment is at the frequency of 100 Hz.
5. The method for monitoring direct current magnetic bias of a transformer according to claim 2, wherein the step of comparing the magnetic bias coefficient with a preset magnetic bias evaluation range to obtain the magnetic bias degree of the target transformer comprises:
the preset bias evaluation range comprises: a first magnetic bias range, a second magnetic bias range, a third magnetic bias range, a fourth magnetic bias range, and a fifth magnetic bias range; the degree of magnetic bias includes: a first degree of bias, a second degree of bias, a third degree of bias, a fourth degree of bias, and 0;
comparing the bias coefficient with a preset bias evaluation range: when the magnetic biasing coefficient is in a first magnetic biasing range, obtaining a first magnetic biasing degree; when the magnetic biasing coefficient is in a second magnetic biasing range, obtaining a second magnetic biasing degree; when the magnetic biasing coefficient is in a third magnetic biasing range, obtaining a third magnetic biasing degree; when the magnetic biasing coefficient is in a fourth magnetic biasing range, obtaining a fourth magnetic biasing degree; when the magnetic bias coefficient is in a fifth magnetic bias range, obtaining the magnetic bias degree to be 0; wherein the degree of biasing comprises: a first degree of biasing, a second degree of biasing, a third degree of biasing, and a fourth degree of biasing.
6. The method for monitoring the direct current magnetic bias of the transformer according to claim 2, wherein the step of obtaining the vibration signal of the target transformer and analyzing and obtaining a plurality of groups of vibration amplitude data corresponding to the vibration signal comprises:
receiving a vibration acceleration signal of a target transformer acquired by a vibration sensor; wherein the vibration signal comprises the vibration acceleration signal;
carrying out Fourier decomposition on the vibration acceleration signal in a time domain to obtain a frequency domain waveform of a target transformer;
and extracting and obtaining vibration acceleration signal amplitudes corresponding to a plurality of groups of preset vibration frequency ranges according to the frequency domain waveform.
7. The method for monitoring direct current magnetic bias of a transformer according to claim 2, wherein the step of obtaining a vibration signal of a target transformer and analyzing and obtaining a plurality of sets of vibration amplitude data corresponding to the vibration signal further comprises the steps of:
receiving a plurality of vibration acceleration signals of a target transformer, which are acquired by a plurality of vibration sensors; wherein the vibration signal comprises the plurality of vibration acceleration signals;
respectively carrying out Fourier decomposition on each vibration acceleration signal in a time domain to obtain a plurality of frequency domain waveforms of the target transformer;
respectively extracting a plurality of groups of vibration acceleration signal amplitudes corresponding to each frequency domain waveform, substituting each group of vibration acceleration signal amplitudes corresponding to the plurality of frequency domain waveforms into an average calculation formula in a preset vibration frequency range, and calculating to obtain vibration acceleration signal amplitudes corresponding to the plurality of groups of preset vibration frequency ranges; wherein, the average calculation formula is specifically:
in the formula, A n A set of vibration acceleration signal amplitudes at a frequency of nHz, A nm The amplitude of a group of vibration acceleration signals corresponding to the m-th vibration sensor under the frequency of nHz is m, and m is the number of the vibration sensors.
8. A transformer direct current magnetic bias monitoring device is characterized by comprising: the device comprises a data acquisition module, a first data calculation module, a second data calculation module and a result generation module;
the data acquisition module is used for acquiring vibration signals of a target transformer and analyzing and acquiring a plurality of groups of vibration amplitude data corresponding to the vibration signals;
the first data calculation module is used for acquiring a plurality of groups of vibration standard data of the target transformer and calculating a plurality of groups of vibration increment data of the target transformer according to the plurality of groups of vibration amplitude data and the plurality of groups of vibration standard data; each group of vibration amplitude data corresponds to each group of vibration standard data one to one;
the second data calculation module is used for substituting the plurality of groups of vibration increment data into a magnetic biasing calculation formula to calculate and obtain a magnetic biasing coefficient of the target transformer;
and the result generation module is used for comparing the magnetic biasing coefficient with a preset magnetic biasing evaluation range to obtain the direct-current magnetic biasing degree of the target transformer.
9. A computer terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a transformer dc bias monitoring method according to any one of claims 1 to 7.
10. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211321929.5A CN115542058A (en) | 2022-10-26 | 2022-10-26 | Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211321929.5A CN115542058A (en) | 2022-10-26 | 2022-10-26 | Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115542058A true CN115542058A (en) | 2022-12-30 |
Family
ID=84718858
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211321929.5A Pending CN115542058A (en) | 2022-10-26 | 2022-10-26 | Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115542058A (en) |
-
2022
- 2022-10-26 CN CN202211321929.5A patent/CN115542058A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu | An adaptive Kalman filter for dynamic estimation of harmonic signals | |
| JP6738135B2 (en) | How to perform electrical cable fault detection on a computer | |
| CN101674520B (en) | Method and device for analyzing and testing parameter of vibration type pickup | |
| Poyhonen et al. | Signal processing of vibrations for condition monitoring of an induction motor | |
| CN110907827B (en) | Motor transient distortion measuring method and system | |
| CN101201282A (en) | Fundamental frequency identification method for detecting cord force of cable-stayed bridge | |
| CN110907826B (en) | Motor fault diagnosis method and system based on convolutional neural network filtering | |
| Tan et al. | Identification of Wiener-Hammerstein models using linear interpolation in the frequency domain (LIFRED) | |
| US7221167B2 (en) | Signal distortion measurement and assessment system and method | |
| JP2006220629A (en) | Internal impedance measuring device for storage battery, and internal impedance measuring method of the storage battery | |
| JP5035815B2 (en) | Frequency measuring device | |
| Yi et al. | A novel technique for fundamental and harmonic parameter estimation using nonergodic $ S $-transform | |
| CN106597098B (en) | A kind of data processing method and device of spectrum analyzer | |
| CN115542058A (en) | Transformer direct-current magnetic bias monitoring method and device, terminal equipment and medium | |
| Lahcène et al. | Detecting rotor faults of SCIG based wind turbine using PSD estimation methods | |
| CN115494303A (en) | EMI receiver signal conversion method, device and storage medium | |
| Nunzi et al. | A procedure for highly reproducible measurements of ADC spectral parameters | |
| D'Elia et al. | Software customization to provide digital oscilloscope with enhanced period-measurement features | |
| CN112461552A (en) | Detection method and system of electronic power-assisted brake system and readable storage medium | |
| CN113283316A (en) | Switch mechanical fault diagnosis method, device and equipment based on sound signals | |
| US7424406B2 (en) | Filter characteristic measuring method and system | |
| CN110032758A (en) | Calculate the method, apparatus and computer storage medium of the energy of electric signal | |
| CN113607992B (en) | Detection wave generation method of direct current power distribution protection device and related device | |
| CN113822329B (en) | Method and device for processing main shaft swing degree signal of hydroelectric generating set | |
| Martins et al. | Enhanced Step Location in the Magnitude and Phase of an AC Signal via Polynomial Approximation Total Variation (PATV) Filtering |
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 |