CN110907778A - GIS equipment partial discharge ultrasonic positioning method, device, equipment and medium - Google Patents
GIS equipment partial discharge ultrasonic positioning method, device, equipment and medium Download PDFInfo
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- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1254—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of gas-insulated power appliances or vacuum gaps
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Abstract
The application discloses a GIS equipment partial discharge ultrasonic positioning method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring a signal received by each ultrasonic sensor in an ultrasonic sensor array; denoising the signal of each ultrasonic sensor; focusing the denoising result; obtaining a covariance matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix; and performing space spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a space spectrogram, and determining the space position of partial discharge in the GIS equipment according to the space spectrogram. The above-mentioned technical scheme that this application is disclosed can come the position of confirming the inside partial discharge of GIS equipment according to ultrasonic sensor array to be convenient for accurately maintain the inside partial discharge's of equipment position etc. with the security and the stability of improve equipment operation.
Description
Technical Field
The present disclosure relates to the field of GIS device technology, and more particularly, to a method, an apparatus, a device and a computer-readable storage medium for local discharge ultrasonic positioning of GIS devices.
Background
In a GIS (Gas Insulated Switchgear), partial discharge causes loss of electric energy and accelerated aging of an insulating material, and therefore, early detection of partial discharge is very important for repair and maintenance of the GIS.
The ultrasonic positioning detection of partial discharge is applied to the detection of partial discharge of the GIS equipment due to the characteristics of high signal-to-noise ratio, high reliability, low cost, stronger on-site anti-interference performance, high positioning precision and the like, but no effective scheme is available at present for carrying out ultrasonic positioning according to an ultrasonic sensor array so as to determine the position of the partial discharge inside the GIS equipment, and accordingly, the subsequent treatment on the position of the partial discharge inside the GIS equipment cannot be timely and accurately carried out.
In summary, how to perform ultrasonic positioning according to an ultrasonic sensor array to determine the position of local discharge inside the GIS device is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method, an apparatus, a device and a computer readable storage medium for performing ultrasonic positioning according to an ultrasonic sensor array to determine a location of a partial discharge inside a GIS device.
In order to achieve the above purpose, the present application provides the following technical solutions:
a GIS device partial discharge ultrasonic positioning method comprises the following steps:
acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in a detection period;
carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result;
focusing the denoising result to obtain a focusing matrix;
obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix;
and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
Preferably, the denoising processing is performed on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result, and the denoising processing includes:
performing discrete Fourier transform on the signal of each ultrasonic sensor in each sub-period to obtain a broadband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of the denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the k-th sub-period, A (f)j) Is an array frequency domain flow pattern matrix, Sk(fj) Discrete Fourier transformed signal transmitted for signal source in kth sub-periodSource emission data, Nk(fj) K is the noise data of the kth sub-period after discrete Fourier transform, K is 1,2jJ is the jth frequency point, J is 1,2.. J, J is the number of data points of the ultrasound sensor array in each of the subintervals.
Preferably, the focusing the denoising result to obtain a focusing matrix includes:
by X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining the focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) Transmitting data for the discrete Fourier transformed signal source transmitted by the signal source during said detection period, f0Is the focus frequency.
Preferably, the singular value decomposition of the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix includes:
performing singular value decomposition on the covariance matrix by using MUSIC algorithm to obtain
Wherein R is the covariance matrix, USFor said signal subspace matrix, UNIs the noise subspace matrix.
Preferably, the ultrasonic positioning is performed according to the spatial spectrogram to determine a spatial position of partial discharge in the GIS device, including:
and determining the position with the maximum energy in the space spectrogram as the space position of partial discharge in the GIS equipment.
A GIS equipment partial discharge ultrasonic positioning device comprises:
the acquisition module is used for acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in the detection period;
the de-noising processing module is used for de-noising the signal of each ultrasonic sensor in each sub-period to obtain a de-noising result;
the focusing processing module is used for carrying out focusing processing on the denoising result to obtain a focusing matrix;
the singular value decomposition module is used for obtaining a covariance matrix by using the focusing matrix and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix;
and the determining module is used for obtaining a space spectrogram by utilizing the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix, and carrying out ultrasonic positioning according to the space spectrogram so as to determine the space position of partial discharge in the GIS equipment.
Preferably, the denoising processing module includes:
a transforming unit, configured to perform discrete fourier transform on the signal of each ultrasound sensor in each sub-period to obtain a wideband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of the denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data, A (f), received by the ultrasonic sensor in the kth sub-periodj) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) K is the noise data of the kth sub-period after discrete Fourier transform, K is 1,2jJ is the jth frequency point, J is 1,2.. J, J is the number of data points of the ultrasound sensor array in each of the subintervals.
Preferably, the focus processing module includes:
a focus processing unit for passing X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining the focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) Transmitting data for the discrete Fourier transformed signal source transmitted by the signal source during said detection period, f0Is the focus frequency.
A GIS device partial discharge ultrasonic positioning device comprises:
a memory for storing a computer program;
a processor for implementing the steps of the GIS device partial discharge ultrasonic positioning method according to any one of the above when the computer program is executed.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for GIS device partial discharge ultrasound localization as claimed in any of the above.
The application provides a GIS equipment partial discharge ultrasonic positioning method, a device, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in a detection period; carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result; focusing the denoising result to obtain a focusing matrix; obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix; and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
According to the technical scheme, the signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period is subjected to denoising processing, the denoising result is subjected to focusing processing, the focusing matrix obtained by the focusing processing is used for obtaining the covariance matrix, singular value decomposition is carried out, the signal subspace matrix and the noise subspace matrix are obtained, then the space spectrum calculation is carried out by the MUSIC algorithm, the space spectrogram is obtained, the space position of the internal discharge of the GIS equipment is determined according to the space spectrogram, namely, the position of the internal partial discharge of the GIS equipment can be determined according to the ultrasonic sensor array, and therefore the accurate maintenance and other processing of the position of the internal partial discharge of the GIS equipment is facilitated, and the safety and the stability of the operation of the GIS equipment are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for positioning a GIS device by partial discharge ultrasound according to an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of an ultrasonic sensor array positioning provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of a local discharge ultrasonic positioning device for GIS equipment according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a GIS device partial discharge ultrasonic positioning device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Referring to fig. 1 and fig. 2, in which fig. 1 shows a flowchart of a method for positioning a GIS device by partial discharge ultrasound according to an embodiment of the present application, and fig. 2 shows a schematic diagram of positioning an ultrasonic sensor array according to an embodiment of the present application, a method for positioning a GIS device by partial discharge ultrasound according to an embodiment of the present application may include:
s11: signals received by each ultrasonic sensor in the array of ultrasonic sensors at each subinterval in the detection interval are acquired.
An ultrasonic sensor array (specifically, a 3 × 3 array or the like) composed of a plurality of ultrasonic sensors is arranged on the GIS device, and each ultrasonic sensor in the ultrasonic sensor array is used for acquiring a signal emitted at a partial discharge position inside the GIS device:
wherein x isl(t) is a signal received by the ith ultrasonic sensor in the ultrasonic sensor array, wherein l is 1,2,3i(t) ultrasonic signals from the ith signal source, nl(t) is the noise signal received by the ith ultrasonic sensor in the ultrasonic sensor array, τliThe delay of the signal received by the first ultrasonic sensor in the ultrasonic sensor array.
After each ultrasonic sensor in the ultrasonic sensor array is used for collecting signals sent by local discharge positions in GIS equipment, the detection time period T of each ultrasonic sensor in the ultrasonic sensor array can be acquired0Each sub-period T indA received signal, wherein each sub-period T is assumeddJ data points are collected in the detection period T0Divided into K sub-periods (correspondingly, T)0＝K*Td)。
S12: and carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result.
De-noising the signal received by each ultrasonic sensor in each sub-period, i.e. for each sub-period TdThe middle J data points are all subjected to denoising processing to obtain a denoising result, so that the influence of a noise signal on ultrasonic positioning is reduced, the accuracy of the ultrasonic positioning is improved,and then be convenient for improve GIS equipment inside partial discharge position definite accuracy.
S13: and focusing the denoising result to obtain a focusing matrix.
Focusing the denoising result obtained by denoising to obtain J frequencies fjFocusing to a frequency f0And finally obtaining the focusing matrix X.
S14: and obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix.
Using a focusing matrix by R ═ E [ XX [ ]H]And obtaining a covariance matrix R, and performing singular value decomposition on the covariance matrix R by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix which are independent of each other.
S15: and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
Then, spatial spectrum calculation can be performed using the MUSIC algorithm (Multiple Signal Classification algorithm), the Signal subspace matrix, and the noise subspace matrix:
wherein, PMUSICA (θ) is the steering vector of the signal subspace matrix, UNIs a noise subspace matrix.
A space spectrum is obtained through space spectrum calculation (see fig. 2 in particular), and then the space spectrum can be quantized, wherein P isMUSIC0 corresponds to no energy, PMUSIC1 corresponds to infinite energy. From the above formula of calculating the spatial spectrum, when the noise is small, P is calculatedMUSICThe energy is relatively large, and at the moment, the energy is relatively concentrated and relatively large, so that the ultrasonic positioning can be carried out according to the space spectrogram to determine the position of the ultrasonic positioning point, namely to determine the space of partial discharge in the GIS equipmentThe position to the realization is in time, accurately determines GIS equipment inside partial discharge's position according to the signal that ultrasonic sensor received in the ultrasonic sensor array, thereby the staff of being convenient for maintains the inside partial discharge's of GIS equipment position that determines, with security and the stability that improves GIS equipment operation.
According to the technical scheme, the signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period is subjected to denoising processing, the denoising result is subjected to focusing processing, the focusing matrix obtained by the focusing processing is used for obtaining the covariance matrix, singular value decomposition is carried out, the signal subspace matrix and the noise subspace matrix are obtained, then the space spectrum calculation is carried out by the MUSIC algorithm, the space spectrogram is obtained, the space position of the internal discharge of the GIS equipment is determined according to the space spectrogram, namely, the position of the internal partial discharge of the GIS equipment can be determined according to the ultrasonic sensor array, and therefore the accurate maintenance and other processing of the position of the internal partial discharge of the GIS equipment is facilitated, and the safety and the stability of the operation of the GIS equipment are improved.
The method for positioning the partial discharge ultrasound of the GIS device, provided by the embodiment of the application, performs denoising processing on a signal of each ultrasound sensor in each sub-period to obtain a denoising result, and may include:
performing discrete Fourier transform on the signal of each ultrasonic sensor in each sub-period to obtain a broadband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the kth sub-period, A (f)j) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) The noise data of K-th sub-period after discrete Fourier transform is represented by K being 1,2 … K, and K being sub-periodNumber of segments, fjJ is 1,2 … J for the J-th frequency point, and J is the number of data points of the ultrasonic sensor array in each sub-period.
Specifically, the signal of each ultrasonic sensor in each sub-period can be denoised through discrete fourier transform, that is, J data points in each sub-period can be subjected to discrete fourier transform to transform the signal from the time domain to the frequency domain and ensure that the signal and the noise are uncorrelated, and after the fourier transform, the following wideband signal model can be used:
Xk(fj)＝A(fj)Sk(fj)+Nk(fj)
in the broadband signal model, A (f) can be expressedj)Sk(fj) As a result of denoising, wherein Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the kth sub-period, A (f)j) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) For the noise data of the k-th sub-period after discrete Fourier transform, fjJ is 1,2 … J for the J-th frequency point, and J is the number of data points of the ultrasonic sensor array in each sub-period.
The GIS device partial discharge ultrasonic positioning method provided by the embodiment of the application carries out focusing processing on a denoising result to obtain a focusing matrix, and can comprise the following steps:
by X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining a focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) For the signal source emission data, f, emitted by the signal source in the detection period after a discrete Fourier transform0Is the focus frequency.
Obtaining A (f) by using discrete Fourier transformj)Sk(fj) After the denoising result is obtained, the denoising result can be represented by X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining a focusing matrix X to convert J frequencies fjFocusing to a focusing frequency f0Wherein, T isβ(fj) For the focus transformation matrix, S (f)j) And transmitting data for the signal source which is transmitted by the signal source in the detection period and subjected to the discrete Fourier transform.
The GIS equipment partial discharge ultrasonic positioning method provided by the embodiment of the application utilizes a preset algorithm to carry out singular value decomposition on a covariance matrix so as to obtain a signal subspace matrix and a noise subspace matrix, and can comprise the following steps:
performing singular value decomposition on the covariance matrix by using the MUSIC algorithm to obtain
Wherein R is a covariance matrix, USBeing a signal subspace matrix, UNIs a noise subspace matrix.
When passing X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) After obtaining the focus matrix X and obtaining the covariance matrix R by using the focus matrix X, singular value decomposition can be performed on the covariance matrix by using the MUSIC algorithm to obtain
Wherein, USBeing a signal subspace matrix, UNThe noise subspace matrix is used for facilitating the spatial spectrum calculation according to the signal subspace matrix and the noise subspace matrix obtained by singular value decomposition.
The ultrasonic positioning method for partial discharge of the GIS equipment, provided by the embodiment of the application, carries out ultrasonic positioning according to a space spectrogram so as to determine the spatial position of partial discharge in the GIS equipment, and can comprise the following steps:
and determining the position with the maximum energy in the space spectrogram as the space position of partial discharge in the GIS equipment.
When the ultrasonic positioning is carried out according to the space spectrum to determine the space position of the partial discharge in the GIS equipment, the position with the maximum energy (the position with the maximum corresponding probability) in the space spectrum can be determined as the space position of the partial discharge in the GIS equipment, so that the accuracy of determining the partial discharge position is improved.
The embodiment of the present application further provides a GIS device partial discharge ultrasonic positioning apparatus, refer to FIG. 3, which shows a schematic structural diagram of a GIS device partial discharge ultrasonic positioning apparatus provided in the embodiment of the present application, and the apparatus may include:
an acquiring module 31, configured to acquire a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period of the detection period;
the denoising processing module 32 is configured to perform denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result;
the focusing processing module 33 is configured to perform focusing processing on the denoising result to obtain a focusing matrix;
a singular value decomposition module 34, configured to obtain a covariance matrix by using the focus matrix, and perform singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix;
and the determining module 35 is configured to obtain a spatial spectrogram by using the MUSIC algorithm, the signal subspace matrix, and the noise subspace matrix, and perform ultrasonic positioning according to the spatial spectrogram to determine a spatial position of partial discharge in the GIS device.
The embodiment of the application provides a GIS equipment partial discharge ultrasonic positioning device, and the denoising processing module 32 can include:
a transforming unit, configured to perform discrete fourier transform on the signal of each ultrasound sensor in each sub-period to obtain a wideband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the k sub-period，A(fj) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) K is the noise data of the K-th sub-period after discrete Fourier transform, K is 1,2jJ is the jth frequency point, J is 1,2.. J, J is the number of data points of the ultrasound sensor array in each subinterval.
The partial discharge ultrasonic positioning device for the GIS equipment provided by the embodiment of the application, the focusing processing module 33 may include:
a focus processing unit for passing X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining a focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) For the signal source emission data, f, emitted by the signal source in the detection period after a discrete Fourier transform0Is the focus frequency.
The embodiment of the application provides a GIS equipment partial discharge supersound positioner, singular value decomposition module 34 can include:
a singular value decomposition unit for performing singular value decomposition on the covariance matrix by using MUSIC algorithm to obtain
Wherein R is a covariance matrix, USBeing a signal subspace matrix, UNIs a noise subspace matrix.
The partial discharge ultrasonic positioning device for the GIS equipment provided by the embodiment of the application, the determining module 35 may include:
and the determining unit is used for determining the position with the maximum energy in the space spectrogram as the space position of the partial discharge in the GIS equipment.
The partial discharge ultrasonic positioning device for the GIS device provided by the embodiment of the present application, referring to fig. 4, shows a schematic structural diagram of the partial discharge ultrasonic positioning device for the GIS device provided by the embodiment of the present application, and may include:
a memory 41 for storing a computer program;
the processor 42, when executing the computer program stored in the memory 41, may implement the following steps:
acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in a detection period; carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result; focusing the denoising result to obtain a focusing matrix; obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix; and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, can implement the following steps:
acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in a detection period; carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result; focusing the denoising result to obtain a focusing matrix; obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix; and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For a description of a relevant part in the device, the equipment, and the computer-readable storage medium for ultrasonic positioning of partial discharge of GIS equipment provided in the embodiments of the present application, reference may be made to the detailed description of the corresponding part in the method for ultrasonic positioning of partial discharge of GIS equipment provided in the embodiments of the present application, which is not described herein again.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include elements inherent in the list. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A GIS device partial discharge ultrasonic positioning method is characterized by comprising the following steps:
acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in a detection period;
carrying out denoising processing on the signal of each ultrasonic sensor in each sub-period to obtain a denoising result;
focusing the denoising result to obtain a focusing matrix;
obtaining a covariance matrix by using the focusing matrix, and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix;
and performing spatial spectrum calculation by using the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix to obtain a spatial spectrogram, and performing ultrasonic positioning according to the spatial spectrogram to determine the spatial position of partial discharge in the GIS equipment.
2. The method for ultrasonic localization of partial discharge of GIS device according to claim 1, wherein denoising the signal of each ultrasonic sensor in each sub-period to obtain a denoising result comprises:
performing discrete Fourier transform on the signal of each ultrasonic sensor in each sub-period to obtain a broadband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of the denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the k-th sub-period, A (f)j) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) K is the noise data of the kth sub-period after discrete Fourier transform, K is 1,2jJ is the jth frequency point, J is 1,2.. J, J is the number of data points of the ultrasound sensor array in each of the subintervals.
3. The method for positioning the GIS device by the partial discharge ultrasonic method according to claim 2, wherein the focusing process is performed on the de-noising result to obtain a focusing matrix, comprising:
by X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining the focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) Transmitting data for the discrete Fourier transformed signal source transmitted by the signal source during said detection period, f0Is the focus frequency.
4. The GIS device partial discharge ultrasonic positioning method according to claim 3, wherein the singular value decomposition is performed on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix, and the method comprises the following steps:
performing singular value decomposition on the covariance matrix by using MUSIC algorithm to obtain
Wherein R is the covariance matrix, USFor said signal subspace matrix, UNIs the noise subspace matrix.
5. The method for ultrasonic positioning of partial discharge of GIS equipment according to claim 4, wherein performing ultrasonic positioning according to the space spectrogram to determine the spatial position of partial discharge in GIS equipment comprises:
and determining the position with the maximum energy in the space spectrogram as the space position of partial discharge in the GIS equipment.
6. The utility model provides a GIS equipment partial discharge supersound positioner which characterized in that includes:
the acquisition module is used for acquiring a signal received by each ultrasonic sensor in the ultrasonic sensor array in each sub-period in the detection period;
the de-noising processing module is used for de-noising the signal of each ultrasonic sensor in each sub-period to obtain a de-noising result;
the focusing processing module is used for carrying out focusing processing on the denoising result to obtain a focusing matrix;
the singular value decomposition module is used for obtaining a covariance matrix by using the focusing matrix and performing singular value decomposition on the covariance matrix by using a preset algorithm to obtain a signal subspace matrix and a noise subspace matrix;
and the determining module is used for obtaining a space spectrogram by utilizing the MUSIC algorithm, the signal subspace matrix and the noise subspace matrix, and carrying out ultrasonic positioning according to the space spectrogram so as to determine the space position of partial discharge in the GIS equipment.
7. The GIS device partial discharge ultrasonic positioning device of claim 6, wherein the denoising processing module comprises:
a transforming unit, configured to perform discrete fourier transform on the signal of each ultrasound sensor in each sub-period to obtain a wideband signal model: xk(fj)＝A(fj)Sk(fj)+Nk(fj) And A (f)j)Sk(fj) As a result of the denoising;
wherein, Xk(fj) Discrete Fourier transformed signal data received by the ultrasonic sensor in the k-th sub-period, A (f)j) Is an array frequency domain flow pattern matrix, Sk(fj) Transmitting data for the signal source after discrete Fourier transform transmitted by the signal source in the kth sub-period, Nk(fj) K is the noise data of the kth sub-period after discrete Fourier transform, K is 1,2jJ is the jth frequency point, J is 1,2.. J, J is the number of data points of the ultrasound sensor array in each of the subintervals.
8. The GIS device partial discharge ultrasonic positioning device of claim 7, wherein the focus processing module comprises:
a focus processing unit for passing X ═ Tβ(fj)A(fj)S(fj)＝A(f0)S(f0) Obtaining the focusing matrix X;
wherein, Tβ(fj) For the focus transformation matrix, S (f)j) Transmitting data for the discrete Fourier transformed signal source transmitted by the signal source during said detection period, f0Is the focus frequency.
9. A GIS device partial discharge ultrasonic positioning device is characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for GIS device partial discharge ultrasound localization according to any of claims 1 to 5 when executing said computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for the partial discharge ultrasound localization of GIS devices according to any of the claims 1 to 5.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111983357A (en) * | 2020-08-21 | 2020-11-24 | 国网重庆市电力公司电力科学研究院 | Ultrasonic visual fault detection method combined with voiceprint detection function |
| CN112098823A (en) * | 2020-08-21 | 2020-12-18 | 国网重庆市电力公司电力科学研究院 | Spatial array device and method for ultrasonic detection of gas switch equipment |
| CN112199897A (en) * | 2020-11-02 | 2021-01-08 | 国网重庆市电力公司电力科学研究院 | GIS equipment abnormal sound vibration identification method improved based on particle swarm optimization |
| CN112698169A (en) * | 2021-01-11 | 2021-04-23 | 中国科学院声学研究所 | Corona discharge positioning method and device, electronic equipment and storage medium |
| CN113092966A (en) * | 2021-04-09 | 2021-07-09 | 华北电力大学（保定） | Microphone array-based converter valve partial discharge signal positioning method |
| CN114353800A (en) * | 2021-12-31 | 2022-04-15 | 哈尔滨工业大学 | Multi-robot mutual positioning observability judging method and system based on spectrogram method |
| WO2022078249A1 (en) * | 2020-10-12 | 2022-04-21 | 阿里巴巴集团控股有限公司 | Sound source tracking method and apparatus, and device, system and storage medium |
| CN116928040A (en) * | 2023-07-28 | 2023-10-24 | 中国长江三峡集团有限公司 | Fan blade voiceprint fault positioning method and device, computer equipment and medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702000A (en) * | 2009-11-26 | 2010-05-05 | 华北电力大学（保定） | Phased ultrasound locating method and system of partial discharge of transformer |
| CN103529364A (en) * | 2013-09-20 | 2014-01-22 | 华北电力大学（保定） | In-oil multi-local discharge source positioning method based on ultrasonic thinned array sensor |
| JP5701509B2 (en) * | 2010-03-12 | 2015-04-15 | 株式会社河合楽器製作所 | Electronic keyboard instrument |
| CN106556783A (en) * | 2016-12-05 | 2017-04-05 | 西安交通大学 | A kind of shelf depreciation direction-finding method in transformer station based on superfrequency phased array principle |
| CN107505548A (en) * | 2017-08-29 | 2017-12-22 | 华北电力大学（保定） | A kind of type local-discharge ultrasonic localization method based on flexible array sensor |
| CN107942212A (en) * | 2017-11-17 | 2018-04-20 | 国网天津市电力公司 | A kind of substation's partial discharge positioning method without blur estimation based on spatial spectrum |
| CN109814013A (en) * | 2019-01-28 | 2019-05-28 | 上海交通大学 | A kind of pair of shelf depreciation carries out the method and system of accurate pointing |
-
2019
- 2019-12-12 CN CN201911275073.0A patent/CN110907778A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702000A (en) * | 2009-11-26 | 2010-05-05 | 华北电力大学（保定） | Phased ultrasound locating method and system of partial discharge of transformer |
| JP5701509B2 (en) * | 2010-03-12 | 2015-04-15 | 株式会社河合楽器製作所 | Electronic keyboard instrument |
| CN103529364A (en) * | 2013-09-20 | 2014-01-22 | 华北电力大学（保定） | In-oil multi-local discharge source positioning method based on ultrasonic thinned array sensor |
| CN106556783A (en) * | 2016-12-05 | 2017-04-05 | 西安交通大学 | A kind of shelf depreciation direction-finding method in transformer station based on superfrequency phased array principle |
| CN107505548A (en) * | 2017-08-29 | 2017-12-22 | 华北电力大学（保定） | A kind of type local-discharge ultrasonic localization method based on flexible array sensor |
| CN107942212A (en) * | 2017-11-17 | 2018-04-20 | 国网天津市电力公司 | A kind of substation's partial discharge positioning method without blur estimation based on spatial spectrum |
| CN109814013A (en) * | 2019-01-28 | 2019-05-28 | 上海交通大学 | A kind of pair of shelf depreciation carries out the method and system of accurate pointing |
Non-Patent Citations (2)
| Title |
|---|
| 刘丹: "降维MUSIC算法在局放超声阵列检测中的应用研究", 《中国优秀硕士学位论文全文数据库（电子期刊）》 * |
| 宋明零: "基于电磁矢量传感器的变压器局部放电故障检测与定位", 《中国优秀硕士学位论文全文数据库（电子期刊）》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112098823A (en) * | 2020-08-21 | 2020-12-18 | 国网重庆市电力公司电力科学研究院 | Spatial array device and method for ultrasonic detection of gas switch equipment |
| CN111983357A (en) * | 2020-08-21 | 2020-11-24 | 国网重庆市电力公司电力科学研究院 | Ultrasonic visual fault detection method combined with voiceprint detection function |
| CN112098823B (en) * | 2020-08-21 | 2023-08-04 | 国网重庆市电力公司电力科学研究院 | Space array device and method for ultrasonic detection of gas switching equipment |
| CN111983357B (en) * | 2020-08-21 | 2022-08-09 | 国网重庆市电力公司电力科学研究院 | Ultrasonic visual fault detection method combined with voiceprint detection function |
| WO2022078249A1 (en) * | 2020-10-12 | 2022-04-21 | 阿里巴巴集团控股有限公司 | Sound source tracking method and apparatus, and device, system and storage medium |
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| CN112199897B (en) * | 2020-11-02 | 2022-10-14 | 国网重庆市电力公司电力科学研究院 | Particle swarm algorithm-based improved GIS equipment abnormal sound vibration identification method |
| CN112698169A (en) * | 2021-01-11 | 2021-04-23 | 中国科学院声学研究所 | Corona discharge positioning method and device, electronic equipment and storage medium |
| CN112698169B (en) * | 2021-01-11 | 2022-02-01 | 中国科学院声学研究所 | Corona discharge positioning method and device, electronic equipment and storage medium |
| CN113092966B (en) * | 2021-04-09 | 2022-04-29 | 华北电力大学（保定） | Microphone array-based converter valve partial discharge signal positioning method |
| CN113092966A (en) * | 2021-04-09 | 2021-07-09 | 华北电力大学（保定） | Microphone array-based converter valve partial discharge signal positioning method |
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| CN114353800B (en) * | 2021-12-31 | 2023-10-24 | 哈尔滨工业大学 | Multi-robot mutual positioning observability judging method and system based on spectrogram method |
| CN116928040A (en) * | 2023-07-28 | 2023-10-24 | 中国长江三峡集团有限公司 | Fan blade voiceprint fault positioning method and device, computer equipment and medium |
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