CN116415099A - Method and apparatus for determining critical poles causing stator low frequency vibrations - Google Patents
Method and apparatus for determining critical poles causing stator low frequency vibrations Download PDFInfo
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Abstract
The present disclosure proposes a method and apparatus for determining critical poles that cause low frequency vibration of a stator, the method comprising: the method comprises the steps of obtaining initial vibration waveform data of a stator of the hydraulic generator, determining initial waveform characteristics of the initial vibration waveform data, carrying out Fourier series decomposition on the initial vibration waveform data to generate a plurality of candidate vibration waveform data, determining candidate waveform characteristics corresponding to each candidate vibration waveform data, determining target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform characteristics and the candidate waveform characteristics, and determining key magnetic poles from a plurality of magnetic poles of the rotor of the hydraulic generator according to the target vibration waveform data. By implementing the method disclosed by the invention, the influence brought by the high-frequency component of stator vibration in the obtained target vibration waveform data can be effectively reduced by carrying out Fourier series decomposition on the initial vibration waveform data in the process of determining the key magnetic poles, so that the accuracy of positioning the key magnetic poles is effectively improved.
Description
Technical Field
The present disclosure relates to the field of hydraulic generators, and more particularly to a method and apparatus for determining critical poles that cause low frequency vibration in a stator.
Background
Along with the acceleration of the current hydropower development progress, the giant hydroelectric generating set is put into production to generate electricity, and the problem of the running stability of the giant hydroelectric generating set is concerned, wherein one of the problems is the problem of low-frequency vibration of a stator. The giant hydraulic turbine is usually designed in a low-rotation-speed and vertical mode, and because the rotor is not an absolute circle and the air gap between the rotor and the stator is uneven, the low-frequency vibration of the stator in the horizontal direction is commonly existing in the operation of the hydraulic generator, is particularly obvious in an obliquely-supported stator base unit, and has the vibration amplitude of up to 250 mu m and far exceeding the national standard and less than 80 mu m. In order to solve the problem of low-frequency vibration of the stator of the put-into-production giant hydroelectric generating set, methods of increasing the static roundness of the rotor, improving the dynamic roundness of the rotor and the like are generally adopted in the industry. The critical poles are the several poles that are most effective in reducing the stator low frequency vibration amplitude.
In the related art, when a key magnetic pole is determined based on a vibration waveform in a method for improving the dynamic roundness of a rotor, because the stator base of the hydro-generator set vibrates and contains high-frequency components, the trend of the low-frequency components in stress analysis is not obvious, and the accuracy of judging the key magnetic pole is affected.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
Therefore, an object of the present disclosure is to provide a method, an apparatus, an electronic device, and a storage medium for determining a critical magnetic pole that causes low-frequency vibration of a stator, which can effectively reduce an influence brought by a high-frequency component of vibration of the stator in obtained target vibration waveform data by performing fourier series decomposition on initial vibration waveform data in a process of determining the critical magnetic pole, thereby effectively improving accuracy of positioning the critical magnetic pole.
Embodiments of the first aspect of the present disclosure provide a method for determining a critical pole causing low frequency vibration of a stator, comprising:
acquiring initial vibration waveform data of a stator of the hydraulic generator;
determining an initial waveform characteristic of the initial vibration waveform data;
performing fourier series decomposition on the initial vibration waveform data to generate a plurality of candidate vibration waveform data;
determining candidate waveform characteristics corresponding to each candidate vibration waveform data;
determining target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature;
and determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data.
According to the method for determining the key magnetic pole causing the stator to vibrate at low frequency, which is provided by the embodiment of the first aspect of the disclosure, the initial waveform characteristics of the initial vibration waveform data are determined by acquiring the initial vibration waveform data of the stator of the hydraulic generator, fourier series decomposition is carried out on the initial vibration waveform data to generate a plurality of candidate vibration waveform data, the candidate waveform characteristics corresponding to each candidate vibration waveform data are determined, the target vibration waveform data are determined from the plurality of candidate vibration waveform data according to the initial waveform characteristics and the candidate waveform characteristics, and the key magnetic pole is determined from the plurality of magnetic poles of the rotor of the hydraulic generator according to the target vibration waveform data, so that the influence brought by the stator vibration high-frequency component in the obtained target vibration waveform data can be effectively reduced by carrying out Fourier series decomposition on the initial vibration waveform data in the process of determining the key magnetic pole, and the accuracy of positioning of the key magnetic pole is effectively improved.
An apparatus for determining a critical pole causing low frequency vibration of a stator according to an embodiment of a second aspect of the present disclosure includes:
the acquisition module is used for acquiring initial vibration waveform data of the stator of the hydraulic generator;
A first determining module for determining an initial waveform characteristic of the initial vibration waveform data;
the generation module is used for carrying out Fourier series decomposition on the initial vibration waveform data so as to generate a plurality of candidate vibration waveform data;
the second determining module is used for determining candidate waveform characteristics corresponding to each candidate vibration waveform data;
a third determining module configured to determine target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature;
and the fourth determining module is used for determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data.
According to the device for determining the key magnetic pole causing the stator to vibrate at low frequency, which is provided by the embodiment of the second aspect of the disclosure, the initial waveform characteristics of the initial vibration waveform data are determined by acquiring the initial vibration waveform data of the stator of the hydraulic generator, fourier series decomposition is carried out on the initial vibration waveform data to generate a plurality of candidate vibration waveform data, the candidate waveform characteristics corresponding to each candidate vibration waveform data are determined, the target vibration waveform data are determined from the plurality of candidate vibration waveform data according to the initial waveform characteristics and the candidate waveform characteristics, and the key magnetic pole is determined from the plurality of magnetic poles of the rotor of the hydraulic generator according to the target vibration waveform data, so that the influence brought by the stator vibration high-frequency component in the obtained target vibration waveform data can be effectively reduced by carrying out Fourier series decomposition on the initial vibration waveform data in the process of determining the key magnetic pole, and the accuracy of positioning of the key magnetic pole is effectively improved.
An electronic device according to an embodiment of a third aspect of the present disclosure includes: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed implements a method of determining critical poles causing stator low frequency vibrations as set forth in embodiments of the first aspect of the present disclosure.
An embodiment of a fourth aspect of the present disclosure proposes a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of determining critical poles causing stator low frequency vibrations as proposed by an embodiment of the first aspect of the present disclosure.
Embodiments of the fifth aspect of the present disclosure propose a computer program product, which when executed by a processor, performs a method of determining critical poles causing stator low frequency vibrations as proposed by embodiments of the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method of determining critical poles that cause stator low frequency vibrations in accordance with one embodiment of the present disclosure;
FIG. 2 is a flow chart of a method of determining critical poles that cause stator low frequency vibrations in accordance with another embodiment of the present disclosure;
FIG. 3 is a flow chart of a method of determining critical poles that cause stator low frequency vibrations in accordance with another embodiment of the present disclosure;
FIG. 4 is a time domain diagram of an initial vibration waveform according to an embodiment of the present disclosure;
FIG. 5 is a schematic illustration of an embodiment of the present disclosure a stator horizontal vibration frequency domain diagram;
FIG. 6 is a schematic diagram illustrating a comparison of an initial vibration waveform and a candidate vibration waveform according to an embodiment of the present disclosure;
FIG. 7 is a schematic diagram of an acceleration data waveform according to an embodiment of the disclosure;
FIG. 8 is a graph showing a comparison of time domain of horizontal vibration of a stator before and after adjustment according to an embodiment of the present disclosure;
FIG. 9 is a schematic diagram of an apparatus for determining critical poles that cause low frequency vibration of a stator according to one embodiment of the present disclosure;
fig. 10 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
Fig. 1 is a flow chart of a method of determining critical poles that cause low frequency vibration of a stator according to an embodiment of the present disclosure.
It should be noted that, the main implementation body of the method for determining the critical magnetic pole that causes the stator to vibrate at low frequency in this embodiment is a device for determining the critical magnetic pole that causes the stator to vibrate at low frequency, where the device may be implemented in software and/or hardware, and the device may be configured in an electronic device, where the electronic device may include, but is not limited to, a terminal, a server, and the like, and the terminal may be a mobile phone, a palm computer, and the like.
As shown in fig. 1, the method for determining a critical pole causing low frequency vibration of a stator includes:
s101: initial vibration waveform data of a stator of the hydro-generator is obtained.
The stator of the hydraulic generator refers to a static part of the hydraulic generator, and can consist of a stator core, a stator winding and a machine base.
The initial vibration waveform data may be data describing the vibration amplitude of the stator of the hydro-generator in a certain direction during the operation of the hydro-generator.
In the embodiment of the disclosure, when the initial vibration waveform data of the hydro-generator stator is obtained, the displacement sensor may be used to obtain the vibration displacement data of the hydro-generator stator in the preset direction as the initial vibration waveform data, or may also be used to collect video data of the hydro-generator stator during the working process, and then the initial vibration waveform data of the hydro-generator stator is obtained based on the video data by parsing, or may also be used to obtain the initial vibration waveform data of the hydro-generator stator by any other possible method, which is not limited.
S102: an initial waveform characteristic of the initial vibration waveform data is determined.
The initial waveform feature refers to feature information of a waveform chart corresponding to the initial vibration waveform data, and may be trend feature of the initial vibration waveform data, for example.
It will be appreciated that the initial waveform characteristics may be effective in characterizing the vibration characteristics of the current hydro-generator stator, and in embodiments of the present disclosure, when determining the initial waveform characteristics of the initial vibration waveform data, reliable reference information may be provided for subsequent determination of the target vibration waveform data from a plurality of candidate vibration waveform data.
S103: fourier series decomposition is performed on the initial vibration waveform data to generate a plurality of candidate vibration waveform data.
The candidate vibration waveform data refers to vibration waveform data with different terms reserved, which is obtained by performing Fourier series decomposition on the initial vibration waveform data.
In the embodiment of the disclosure, the initial vibration waveform data may be one period data, and when the fourier series decomposition is performed on the initial vibration waveform data, the initial vibration waveform data may be represented as an infinite series formed by a sine function and a cosine function, and vibration waveform data including low frequency components of different degrees may be obtained according to the difference of the remaining series.
For example, when the initial vibration waveform data L (n) = { L 1 ，l 2 ，l 3 ，...，l N When n=1, 2,3,..w, W is the data amount in one cycle, L (n) can be written as L (n) =a according to the fourier series formula 0 +s (1) +s (2) +.+ S (x), S (x) representing the component of L (n) at x times the frequency of the generator rotation.
n＝1，2，3，...，N；x＝1，2，3...
New candidate vibration waveform data S (n) retaining only part of the frequency components is obtained.
S(n)＝a 0 +S(1)+S(2)+...+S(x)
In the embodiment of the disclosure, when x takes different values, a plurality of different candidate vibration waveform data S (n) can be obtained.
S104: and determining candidate waveform characteristics corresponding to each candidate vibration waveform data.
The candidate waveform feature refers to a waveform feature corresponding to the candidate vibration waveform data.
In the embodiment of the disclosure, vibration low-frequency components with different degrees are reserved in the plurality of candidate vibration waveform data respectively, and when the candidate waveform characteristics corresponding to each candidate vibration waveform data are determined, the main waveform characteristics which can be generated by the corresponding candidate vibration waveform data can be effectively represented.
S105: the target vibration waveform data is determined from the plurality of candidate vibration waveform data based on the initial waveform feature and the candidate waveform feature.
The target vibration waveform data is candidate vibration waveform data in which the candidate waveform characteristics satisfy the initial waveform characteristics among the plurality of candidate vibration waveform data.
For example, in the embodiment of the present disclosure, when determining target vibration waveform data from a plurality of candidate vibration waveform data based on the initial waveform feature and the candidate waveform feature, it may be that for the above-obtained candidate vibration waveform data S (n):
S(n)＝a 0 +S(1)+S(2)+...+S(x)
taking proper X value until the original waveform data L (n) and the waveform data S (n) of the reserved part frequency are basically consistent in trend.
In the embodiment of the disclosure, when the target vibration waveform data is determined from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature, the main waveform feature of the initial vibration waveform data can be reserved to a higher degree while the high-frequency component in the initial vibration waveform data is effectively removed, so that the practicability of the obtained target vibration waveform data can be effectively improved.
S106: and determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data.
The hydraulic generator rotor refers to a rotating part of the hydraulic generator, and can consist of a rotating shaft, a bracket, a magnetic yoke, magnetic poles, a current collecting device and the like, so as to generate a magnetic field, transform energy and transmit torque.
The key magnetic pole can be one or several magnetic poles which are most effective in reducing the low-frequency vibration amplitude of the stator.
In this embodiment, initial waveform characteristics of initial vibration waveform data are determined by acquiring the initial vibration waveform data of the stator of the hydro-generator, fourier series decomposition is performed on the initial vibration waveform data to generate a plurality of candidate vibration waveform data, candidate waveform characteristics corresponding to each candidate vibration waveform data are determined, target vibration waveform data are determined from the plurality of candidate vibration waveform data according to the initial waveform characteristics and the candidate waveform characteristics, and key magnetic poles are determined from a plurality of magnetic poles of the rotor of the hydro-generator according to the target vibration waveform data, so that the influence brought by a high-frequency component of stator vibration in the obtained target vibration waveform data can be effectively reduced by performing fourier series decomposition on the initial vibration waveform data in the process of determining the key magnetic poles, and the accuracy of positioning of the key magnetic poles is effectively improved.
Fig. 2 is a flow chart of a method of determining critical poles that cause low frequency vibration of a stator according to another embodiment of the present disclosure.
As shown in fig. 2, the method for determining a critical pole causing low frequency vibration of a stator includes:
s201: a rotation period of the hydro-generator rotor is determined.
The rotation period refers to the time required for the rotor of the hydro-generator to rotate for one circle.
S202: and according to the rotation period, acquiring a target number of initial displacement values of the hydro-generator stator in a target direction to be used as initial vibration waveform data.
The target direction refers to the direction of the vibration amplitude of the stator of the hydraulic generator to be detected.
The target number refers to the number of displacement values of the stator of the hydraulic generator in a target direction acquired in one rotation period.
The initial displacement value refers to the acquired displacement value of the hydro-generator stator in the target direction. A plurality of initial displacement values may be used together to compose the initial vibration waveform data.
That is, in the embodiment of the present disclosure, the rotation period of the rotor of the hydro-generator may be determined, and according to the rotation period, the target number of initial displacement values of the stator of the hydro-generator in the target direction are obtained to be used together as the initial vibration waveform data, so that the reliability and practicality of the initial vibration waveform data obtaining process may be effectively improved.
S203: an initial waveform characteristic of the initial vibration waveform data is determined.
S204: fourier series decomposition is performed on the initial vibration waveform data to generate a plurality of candidate vibration waveform data.
S205: and determining candidate waveform characteristics corresponding to each candidate vibration waveform data.
The descriptions of S203 to S205 may be specifically referred to the above embodiments, and are not repeated herein.
S206: a similarity value between the initial waveform feature and the candidate waveform feature is determined.
Wherein the similarity value may be used to characterize the degree of similarity between the initial waveform feature and the candidate waveform feature.
In the embodiment of the disclosure, when determining the similarity value between the initial waveform feature and the candidate waveform feature, the initial waveform feature and the candidate waveform feature may be input into a pre-trained machine learning model to obtain the similarity value of the initial waveform feature and the candidate waveform feature, or a third-party waveform evaluation device may be used to process the initial waveform feature and the candidate waveform feature to obtain the similarity value between the initial waveform feature and the candidate waveform feature, which is not limited.
S207: the target vibration waveform data is determined from the plurality of candidate vibration waveform data according to the similarity value.
In the embodiment of the present disclosure, when determining the target vibration waveform data from the plurality of candidate vibration waveform data according to the similarity value, the candidate vibration waveform data whose similarity value satisfies the preset demand may be used as the target vibration waveform data.
That is, in the embodiment of the present disclosure, after determining the candidate waveform feature corresponding to each candidate vibration waveform data, a similarity value between the initial waveform feature and the candidate waveform feature may be determined, and the target vibration waveform data may be determined from the plurality of candidate vibration waveform data according to the similarity value, so that the description effect of the obtained target vibration waveform data on the stator vibration feature of the hydro-generator may be effectively improved.
S208: and determining acceleration data corresponding to the magnetic pole air gaps according to the target number of target displacement values.
The magnetic pole air gap refers to an air gap between each magnetic pole of the hydro-generator rotor and the stator. The dynamic distribution of magnetic force is optimized by adjusting the magnetic pole air gap, so that the stress fluctuation amplitude of the stator can be reduced, and the purpose of reducing the vibration amplitude is further realized.
The acceleration data can be used for describing acceleration information corresponding to the magnetic pole air gap in the time of acquiring the displacement value.
Optionally, in some embodiments, when determining the acceleration data corresponding to the magnetic pole air gap according to the target number of target displacement values, a difference value between adjacent target displacement values in the target vibration waveform data may be determined as a waveform difference value, where the number of waveform difference values is the target number, and a difference value between adjacent waveform difference values in the target number of waveform difference values is determined as an acceleration value, where the target number of acceleration values are taken together as acceleration data, so that reliability of an acceleration data obtaining process may be effectively improved, and accuracy of the obtained acceleration data may be ensured.
For example, for S (n) = { S 1 ，s 2 ，s 3 ，...，s N Subtracting adjacent data in the measurement point to obtain displacement variation V (n) (speed), V (n) = { V 1 ，v 2 ，v 3 ，...，v N }，v 1 ＝s 1 -s N ，v 2 ＝s 2 -s 1 ，…，v N ＝s N -s N-1 . Subtracting the adjacent data of V (n) to obtain the speed variation A (n) (acceleration degree)Data), a (n) = { a 1 ，a 2 ，a 3 ，...，a N }，a 1 ＝v 1 -v N ，a 2 ＝v 2 -v 1 ，…，a N ＝v N -v N-1 。
S209: at least one critical pole region is determined from the acceleration data.
The critical pole area refers to a set of consecutive acceleration values that may be used to indicate the critical pole in the acceleration data.
Optionally, in some embodiments, when determining at least one critical magnetic pole area according to the acceleration data, it may be determining a numerical feature of the acceleration data, and determining the critical magnetic pole area according to the numerical feature, where the critical magnetic pole area includes a plurality of acceleration values, thereby effectively combining the numerical feature of the acceleration data in determining the critical magnetic pole area, so as to effectively improve reliability of the critical magnetic pole area determining process.
The numerical characteristic may be, for example, a positive or negative characteristic of acceleration data, or a magnitude characteristic.
In the embodiment of the disclosure, when determining at least one critical magnetic pole area according to the acceleration data, a plurality of acceleration values which are continuously positive or continuously negative in the acceleration data may be selected as the critical magnetic pole area.
S210: and determining the key magnetic pole according to the key magnetic pole area.
In the embodiment of the disclosure, after the critical pole area is determined, the critical pole may be determined according to the critical pole area.
That is, in the embodiment of the present disclosure, the target vibration waveform data includes a target number of target displacement values, after determining the target vibration waveform data from the plurality of candidate vibration waveform data according to the similarity values, acceleration data corresponding to the magnetic pole air gap may be determined according to the target number of target displacement values, at least one critical magnetic pole area is determined according to the acceleration data, and the critical magnetic poles are determined according to the critical magnetic pole area, so that the obtained acceleration data may represent stress characteristics of each magnetic pole, thereby effectively improving rationality in determining the critical magnetic pole process.
In this embodiment, by determining the rotation period of the rotor of the hydro-generator, according to the rotation period, the target number of initial displacement values of the stator of the hydro-generator in the target direction are obtained to be used as the initial vibration waveform data together, so that the reliability and practicality of the initial vibration waveform data obtaining process can be effectively improved. By determining the similarity value between the initial waveform feature and the candidate waveform feature and determining the target vibration waveform data from the plurality of candidate vibration waveform data according to the similarity value, the description effect of the obtained target vibration waveform data on the stator vibration feature of the hydro-generator can be effectively improved. The acceleration data corresponding to the magnetic pole air gaps are determined according to the target number of target displacement values, at least one key magnetic pole area is determined according to the acceleration data, and key magnetic poles are determined according to the key magnetic pole areas, so that the obtained acceleration data can represent the stress characteristics of each magnetic pole, and the rationality of the process of determining the key magnetic poles is effectively improved. The difference value between adjacent target displacement values in the target vibration waveform data is determined to be the waveform difference value, wherein the number of the waveform difference values is the target number, the difference value between the adjacent waveform difference values in the target number of the waveform difference values is determined to be the acceleration value, and the target number of the acceleration values are jointly used as the acceleration data, so that the reliability of the acceleration data acquisition process can be effectively improved, and the accuracy of the obtained acceleration data is ensured. By determining the numerical characteristics of the acceleration data and determining the key magnetic pole area according to the numerical characteristics, the key magnetic pole area comprises a plurality of acceleration values, so that the numerical characteristics of the acceleration data can be effectively combined in the process of determining the key magnetic pole area, and the reliability of the process of determining the key magnetic pole area is effectively improved.
Fig. 3 is a flow chart of a method of determining critical poles that cause low frequency vibration of a stator according to another embodiment of the present disclosure.
As shown in fig. 3, the method for determining a critical pole causing low frequency vibration of a stator includes:
s301: initial vibration waveform data of a stator of the hydro-generator is obtained.
S302: an initial waveform characteristic of the initial vibration waveform data is determined.
S303: fourier series decomposition is performed on the initial vibration waveform data to generate a plurality of candidate vibration waveform data.
S304: and determining candidate waveform characteristics corresponding to each candidate vibration waveform data.
S305: the target vibration waveform data is determined from the plurality of candidate vibration waveform data based on the initial waveform feature and the candidate waveform feature.
S306: and determining acceleration data corresponding to the magnetic pole air gaps according to the target number of target displacement values.
S307: at least one critical pole region is determined from the acceleration data.
The descriptions of S301 to S307 may be specifically referred to the above embodiments, and are not repeated here.
S308: an extremum of the plurality of acceleration values in each critical magnetic region is determined as a target acceleration value.
The target acceleration value refers to an extremum of a plurality of acceleration values in each critical magnetic area, and the target acceleration value may be a maximum value or a minimum value, which is not limited.
S309: and determining a magnetic pole corresponding to the target acceleration value as a key magnetic pole.
In the embodiment of the disclosure, when determining the magnetic pole corresponding to the target acceleration value as the key magnetic pole, the number of magnetic poles and the rotation direction of the rotor of the hydraulic generator may be determined, the magnetic pole corresponding to the first initial displacement value in the initial vibration waveform data may be determined as the reference magnetic pole, the data acquisition number corresponding to each magnetic pole may be determined according to the target number and the magnetic pole number, the mapping information between the magnetic pole and the initial displacement value may be determined according to the rotation direction, the reference magnetic pole and the data acquisition number, the initial displacement value corresponding to the target acceleration value may be determined as the index, and the magnetic pole corresponding to the index may be determined as the key magnetic pole according to the mapping information, thereby realizing accurate positioning of the key magnetic pole based on the mapping information and effectively improving the rationality of the key magnetic pole determination process.
The number of magnetic poles refers to the number of magnetic poles contained in the rotor of the hydro-generator.
The rotation direction may be, for example, counterclockwise or clockwise.
The reference magnetic pole refers to a magnetic pole corresponding to a first initial displacement value in initial vibration waveform data.
The collection number refers to the number of displacement values corresponding to each magnetic pole in the initial vibration waveform data.
Wherein the mapping information may be used to describe a mapping relationship between a plurality of initial displacement values in the initial vibration waveform data and the respective magnetic poles. Index, then, refers to the initial displacement value that is used to determine the critical pole.
For example, in the embodiment of the present disclosure, a magnetic pole corresponding to a first initial displacement value in initial vibration waveform data may be set as a number 1 magnetic pole, and then the magnetic poles are numbered sequentially according to the collection number obtained by collection and according to the reverse direction of the rotation direction of the unit, so as to determine the corresponding relationship between each initial displacement value and the magnetic pole, and generate the mapping information.
That is, in the embodiment of the present disclosure, after at least one critical magnetic pole region is determined according to acceleration data, an extremum of a plurality of acceleration values in each critical magnetic pole region may be determined as a target acceleration value, and a magnetic pole corresponding to the target acceleration value may be determined as a critical magnetic pole, thereby effectively improving the practicality of the determined critical magnetic pole.
Optionally, in the embodiment of the present disclosure, after determining the key magnetic pole, a comparison result between a plurality of target acceleration values may be determined, position information of a plurality of key magnetic poles may be determined, according to the comparison result and the position information, a magnetic pole to be adjusted may be determined from the plurality of key magnetic poles, and according to the target acceleration value corresponding to the magnetic pole to be adjusted, a magnetic pole air gap corresponding to the magnetic pole to be adjusted may be adjusted, thereby adjusting a magnetic pole air gap of a rotor of the hydraulic generator in time after determining the key magnetic pole, so as to effectively improve safety of a working process of the hydraulic generator.
For example, in the embodiment of the present disclosure, the number of the adjusted key magnetic poles may be determined according to the actual conditions such as the construction period, manpower, and material resources, and the sorting may be performed according to the comparison of the absolute values of the maximum values of the respective regions. The top pole is generally preferably adjusted and the selection of two adjacent critical poles is avoided as much as possible. By adjusting the air gap of the key magnetic pole, the unbalance of magnetic tension between the generator and the rotor is reduced, and the fluctuation range of A (n) is reduced, so that the vibration amplitude of the stator is reduced.
In this embodiment, by determining the extremum of the plurality of acceleration values in each critical magnetic pole region as the target acceleration value, the magnetic pole corresponding to the target acceleration value is determined as the critical magnetic pole, whereby the practicability of the determined critical magnetic pole can be effectively improved. The magnetic pole corresponding to the first initial displacement value in the initial vibration waveform data is determined to be used as a reference magnetic pole by determining the number of magnetic poles and the rotating direction of the rotor of the hydraulic generator, the data acquisition number corresponding to each magnetic pole is determined according to the target number and the number of magnetic poles, the mapping information between the magnetic poles and the initial displacement value is determined according to the rotating direction, the reference magnetic pole and the data acquisition number, the initial displacement value corresponding to the target acceleration value is determined to be used as an index, and the magnetic pole corresponding to the index is determined to be used as a key magnetic pole according to the mapping information, so that the accurate positioning of the key magnetic pole can be realized based on the mapping information, and the rationality of the key magnetic pole determination process can be effectively improved. The magnetic pole to be adjusted is determined from the plurality of key magnetic poles according to the comparison result and the position information, and the magnetic pole air gap corresponding to the magnetic pole to be adjusted is adjusted according to the target acceleration value corresponding to the magnetic pole to be adjusted, so that the magnetic pole air gap of the rotor of the hydraulic generator can be adjusted in time after the key magnetic poles are determined, and the safety of the working process of the hydraulic generator is effectively improved.
For example, a vertical shaft semi-umbrella type salient pole hydraulic generator of a certain power station has a single machine capacity of 650MW, a stator core inner diameter of 14500mm, a designed air gap of 34.5mm, a rated rotation speed of 125r/min, 48 magnetic poles and an inclined support type stator base. The horizontal vibration of the stator frame in the horizontal direction is 67 μm under the rated load working condition. Stator frame horizontal vibration measurement system: TN8000, respectively installing a displacement vibration sensor in +X, -Y direction, 256 data acquisition quantity every week.
Step (1), vibration data acquisition
The collected original vibration waveform data L (n), the time domain diagram is shown in fig. 4, fig. 4 is an initial vibration waveform time domain diagram according to the embodiment of the present disclosure, the frequency domain diagram is shown in fig. 5, and fig. 5 is a horizontal vibration frequency domain diagram of a stator according to the embodiment of the present disclosure, and the original data is shown in table 1.
TABLE 1
Step (2), reserving low-frequency component data
L(n)＝a 0 +s (1) +s (2) +.+s (x), then
When x is taken to be 3, the general trend of S (n) of the reserved low-frequency component is consistent with that of the original data L (n), see fig. 6, and fig. 6 is a schematic diagram of comparing an initial vibration waveform with a candidate vibration waveform according to an embodiment of the present disclosure. The obtained candidate vibration waveform data S (n) are shown in table 2.
TABLE 2
| Data numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Displacement value | 5.6 | 5.7 | 5.6 | 5.4 | 5.2 | 4.9 | 4.5 | 4.1 |
| Data numbering | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| Displacement value | 3.5 | 2.9 | 2.2 | 1.4 | 0.6 | -0.3 | -1.3 | -2.3 |
| … | … | … | … | … | … | … | … | … |
| Data numbering | 241 | 242 | 243 | 244 | 245 | 246 | 247 | 248 |
| Displacement value | -2.7 | -1.9 | -1.1 | -0.4 | 0.4 | 1.1 | 1.8 | 2.4 |
| Data numbering | 249 | 250 | 251 | 252 | 253 | 254 | 255 | 256 |
| Displacement value | 3.0 | 3.6 | 4.1 | 4.5 | 4.9 | 5.2 | 5.4 | 5.6 |
And (3) calculating the second difference of the S (n) data to obtain A (n), wherein the waveform is shown in FIG. 7, and FIG. 7 is a schematic diagram of an acceleration data waveform according to the embodiment of the present disclosure, and the acceleration data A (n) is shown in Table 3.
TABLE 3 Table 3
| Data numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Acceleration value | -0.0740 | -0.0759 | -0.0775 | -0.0786 | -0.0793 | -0.0796 | -0.0795 | -0.0789 |
| Data numbering | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| Acceleration value | -0.0780 | -0.0766 | -0.0748 | -0.0726 | -0.0700 | -0.0670 | -0.0637 | -0.0600 |
| … | … | … | … | … | … | … | … | … |
| Data numbering | 241 | 242 | 243 | 244 | 245 | 246 | 247 | 248 |
| Acceleration value | -0.004 | -0.009 | -0.015 | -0.020 | -0.026 | -0.031 | -0.036 | -0.041 |
| Data numbering | 249 | 250 | 251 | 252 | 253 | 254 | 255 | 256 |
| Acceleration value | -0.046 | -0.051 | -0.055 | -0.059 | -0.063 | -0.066 | -0.069 | -0.072 |
Step (4), determining key magnetic poles
Based on the calculated acceleration values, there are 6 extrema, respectively
a 6 ＝-0.0796，a 51 ＝0.0956，a 96 ＝-0.6859，a 136 ＝0.4257，a 176 ＝-0.6735，a 219 ＝0.0752
The corresponding key magnetic poles are #1, #10, #18, #26, #33 and #42 magnetic poles.
Step (5), key magnetic pole selection
According to stator vibration treatment experience, the number 10 magnetic pole air gap is adjusted and increased, the air gap increment is 1.5mm, the number 33 magnetic pole air gap is adjusted and reduced, and the air gap decrement is 1mm. The horizontal vibration amplitude of the stator is reduced from 67 μm to 34 μm after adjustment. As shown in fig. 8, fig. 8 is a time domain contrast diagram of horizontal vibration of a stator before and after adjustment according to an embodiment of the present disclosure.
Fig. 9 is a schematic structural view of an apparatus for determining critical poles causing low frequency vibration of a stator according to an embodiment of the present disclosure.
As shown in fig. 9, the apparatus 90 for determining critical poles that cause low frequency vibration of a stator includes:
The acquisition module 901 is used for acquiring initial vibration waveform data of the stator of the hydro-generator;
a first determining module 902 for determining an initial waveform characteristic of the initial vibration waveform data;
a generating module 903, configured to perform fourier series decomposition on the initial vibration waveform data to generate a plurality of candidate vibration waveform data;
a second determining module 904, configured to determine a candidate waveform feature corresponding to each candidate vibration waveform data;
a third determining module 905 for determining target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature;
a fourth determining module 906 for determining a critical magnetic pole from the plurality of magnetic poles of the hydro-generator rotor based on the target vibration waveform data
It should be noted that the foregoing explanation of the method for determining the critical magnetic pole causing the stator to vibrate at low frequency is also applicable to the apparatus for determining the critical magnetic pole causing the stator to vibrate at low frequency in this embodiment, and will not be repeated here.
In this embodiment, initial waveform characteristics of initial vibration waveform data are determined by acquiring the initial vibration waveform data of the stator of the hydro-generator, fourier series decomposition is performed on the initial vibration waveform data to generate a plurality of candidate vibration waveform data, candidate waveform characteristics corresponding to each candidate vibration waveform data are determined, target vibration waveform data are determined from the plurality of candidate vibration waveform data according to the initial waveform characteristics and the candidate waveform characteristics, and key magnetic poles are determined from a plurality of magnetic poles of the rotor of the hydro-generator according to the target vibration waveform data, so that the influence brought by a high-frequency component of stator vibration in the obtained target vibration waveform data can be effectively reduced by performing fourier series decomposition on the initial vibration waveform data in the process of determining the key magnetic poles, and the accuracy of positioning of the key magnetic poles is effectively improved.
Fig. 10 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device 12 shown in fig. 10 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 10, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Although not shown in fig. 10, a magnetic disk drive for reading from and writing to a removable nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable nonvolatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure. A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.
The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a person to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks, such as a local area network (Local Area Network; hereinafter: LAN), a wide area network (Wide Area Network; hereinafter: WAN) and/or a public network, such as the Internet, via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 performs various functional applications and data processing by running a program stored in the system memory 28, for example, implementing the method of determining the critical poles causing the stator to vibrate at low frequencies mentioned in the foregoing embodiment.
To achieve the above-described embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of determining critical poles causing stator low frequency vibrations as proposed in the previous embodiments of the present disclosure.
To achieve the above embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a method of determining a critical pole causing stator low frequency vibrations as proposed by the previous embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A method of determining critical poles that cause low frequency vibration of a stator, comprising:
acquiring initial vibration waveform data of a stator of the hydraulic generator;
determining an initial waveform characteristic of the initial vibration waveform data;
performing fourier series decomposition on the initial vibration waveform data to generate a plurality of candidate vibration waveform data;
determining candidate waveform characteristics corresponding to each candidate vibration waveform data;
determining target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature;
and determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data.
2. The method of claim 1, wherein the acquiring initial vibration waveform data for the hydro-generator stator over a rotation period comprises:
Determining a rotation period of the hydro-generator rotor;
and according to the rotation period, acquiring a target number of initial displacement values of the hydro-generator stator in a target direction to be used as the initial vibration waveform data.
3. The method of claim 1, wherein said determining target vibration waveform data from said plurality of candidate vibration waveform data based on said initial waveform feature and said candidate waveform feature comprises:
determining a similarity value between the initial waveform feature and the candidate waveform feature;
and determining the target vibration waveform data from the plurality of candidate vibration waveform data according to the similarity value.
4. The method of claim 1, wherein the target vibration waveform data comprises a target number of target displacement values;
wherein, the determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data includes:
according to the target displacement values of the target quantity, determining acceleration data corresponding to the magnetic pole air gaps;
determining at least one critical pole region according to the acceleration data;
and determining the key magnetic pole according to the key magnetic pole area.
5. The method of claim 4, wherein said determining acceleration data corresponding to a pole air gap based on said target number of said target displacement values comprises:
determining a difference value between adjacent target displacement values in the target vibration waveform data as a waveform difference value, wherein the number of the waveform difference values is a target number;
and determining the difference value between adjacent waveform difference values in the target number of waveform difference values as acceleration values, wherein the acceleration values of the target number of waveform difference values are used as the acceleration data together.
6. The method of claim 5, wherein said determining at least one critical pole region from said acceleration data comprises:
determining a numerical characteristic of the acceleration data;
and determining the key magnetic pole area according to the numerical characteristic, wherein the key magnetic pole area comprises a plurality of acceleration values.
7. The method of claim 6, wherein said determining said critical pole from said critical pole area comprises:
determining extremum of a plurality of the acceleration values in each of the critical magnetic regions as a target acceleration value;
And determining a magnetic pole corresponding to the target acceleration value as the key magnetic pole.
8. The method of claim 7, wherein the determining the magnetic pole corresponding to the target acceleration value as the critical magnetic pole comprises:
determining the number of magnetic poles and the rotation direction of the rotor of the hydraulic generator;
determining the magnetic pole corresponding to the first initial displacement value in the initial vibration waveform data as a reference magnetic pole;
determining the data acquisition quantity corresponding to each magnetic pole according to the target quantity and the magnetic pole quantity;
determining mapping information between the magnetic poles and the initial displacement value according to the rotation direction, the reference magnetic poles and the data acquisition quantity;
determining the initial displacement value corresponding to the target acceleration value as an index;
and determining the magnetic pole corresponding to the index as the key magnetic pole according to the mapping information.
9. The method as recited in claim 7, further comprising:
determining comparison results among a plurality of target acceleration values;
determining position information of a plurality of key magnetic poles;
determining a magnetic pole to be adjusted from a plurality of key magnetic poles according to the comparison result and the position information;
And adjusting the magnetic pole air gap corresponding to the magnetic pole to be adjusted according to the target acceleration value corresponding to the magnetic pole to be adjusted.
10. An apparatus for determining critical poles that cause low frequency vibration of a stator, comprising:
the acquisition module is used for acquiring initial vibration waveform data of the stator of the hydraulic generator;
a first determining module for determining an initial waveform characteristic of the initial vibration waveform data;
the generation module is used for carrying out Fourier series decomposition on the initial vibration waveform data so as to generate a plurality of candidate vibration waveform data;
the second determining module is used for determining candidate waveform characteristics corresponding to each candidate vibration waveform data;
a third determining module configured to determine target vibration waveform data from the plurality of candidate vibration waveform data according to the initial waveform feature and the candidate waveform feature;
and the fourth determining module is used for determining a key magnetic pole from a plurality of magnetic poles of the hydro-generator rotor according to the target vibration waveform data.
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| CN117171493A (en) * | 2023-11-01 | 2023-12-05 | 华能澜沧江水电股份有限公司 | Electromagnetic vibration calculation method and system for stator of hydraulic generator |
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| CN117171493A (en) * | 2023-11-01 | 2023-12-05 | 华能澜沧江水电股份有限公司 | Electromagnetic vibration calculation method and system for stator of hydraulic generator |
| CN117171493B (en) * | 2023-11-01 | 2024-03-01 | 华能澜沧江水电股份有限公司 | Electromagnetic vibration calculation method and system for stator of hydraulic generator |
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