CN111929551A - Method and system for filtering vibration and sound detection signals of transformer in running state - Google Patents
Method and system for filtering vibration and sound detection signals of transformer in running state Download PDFInfo
- Publication number
- CN111929551A CN111929551A CN202010971882.1A CN202010971882A CN111929551A CN 111929551 A CN111929551 A CN 111929551A CN 202010971882 A CN202010971882 A CN 202010971882A CN 111929551 A CN111929551 A CN 111929551A
- Authority
- CN
- China
- Prior art keywords
- sequence
- signal
- vibration
- determining
- representing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 43
- 238000001914 filtration Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 38
- 108010076504 Protein Sorting Signals Proteins 0.000 claims abstract description 82
- 239000011159 matrix material Substances 0.000 claims abstract description 47
- 230000002159 abnormal effect Effects 0.000 description 6
- 238000004804 winding Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000009413 insulation Methods 0.000 description 2
- 229910000976 Electrical steel Inorganic materials 0.000 description 1
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005520 electrodynamics Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- 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
- G01R31/1209—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 using acoustic measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The invention discloses a method and a system for filtering a vibration and sound detection signal in a running state of a transformer. The method comprises the following steps: obtaining a vibration signal sequence, and determining a signal difference sequence by adopting a vibration signal difference method according to the vibration signal sequence; respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence; and carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence. By adopting the method and the system, the background noise can be filtered, and the vibration and sound identification can be effectively carried out.
Description
Technical Field
The invention relates to the technical field of signal filtering, in particular to a method and a system for filtering a vibration and sound detection signal of a transformer in an operating state.
Background
With the high-speed development of the smart grid, the safe and stable operation of the power equipment is particularly important. At present, the detection of the operating state of the power equipment with ultrahigh voltage and above voltage grades, especially the detection of the abnormal state, is increasingly important and urgent. As an important component of an electric power system, a power transformer is one of the most important electrical devices in a substation, and its reliable operation is related to the safety of a power grid. Generally, the abnormal state of the transformer can be divided into core abnormality and winding abnormality. The core abnormality is mainly represented by core saturation, and the winding abnormality generally includes winding deformation, winding looseness and the like.
The basic principle of the transformer abnormal state detection is to extract each characteristic quantity in the operation of the transformer, analyze, identify and track the characteristic quantity so as to monitor the abnormal operation state of the transformer. The detection method can be divided into invasive detection and non-invasive detection according to the contact degree; the detection can be divided into live detection and power failure detection according to whether the shutdown detection is needed or not; the method can be classified into an electrical quantity method, a non-electrical quantity method, and the like according to the type of the detected quantity. In comparison, the non-invasive detection has strong transportability and is more convenient to install; the live detection does not affect the operation of the transformer; the non-electric quantity method is not electrically connected with the power system, so that the method is safer. The current common detection methods for the operation state of the transformer include a pulse current method and an ultrasonic detection method for detecting partial discharge, a frequency response method for detecting winding deformation, a vibration detection method for detecting mechanical and electrical faults, and the like. The detection methods mainly detect the insulation condition and the mechanical structure condition of the transformer, wherein the detection of the vibration signal (vibration sound) of the transformer is the most comprehensive, and the fault and the abnormal state of most transformers can be reflected.
In the running process of the transformer, the magnetostriction of the iron core silicon steel sheets and the vibration caused by the winding electrodynamic force can radiate vibration sound signals with different amplitudes and frequencies to the periphery. When the transformer normally operates, uniform low-frequency noise is emitted outwards; if the sound is not uniform, it is not normal. The transformer can make distinctive sounds in different running states, and the running state of the transformer can be mastered by detecting the sounds made by the transformer. It is worth noting that the detection of the sound emitted by the transformer in different operating states not only can detect a plurality of serious faults causing the change of the electrical quantity, but also can detect a plurality of abnormal states which do not endanger the insulation and do not cause the change of the electrical quantity, such as the loosening of internal and external parts of the transformer, and the like.
Because the vibration sound detection method utilizes the vibration signal sent by the transformer, the vibration sound detection method is easily influenced by environmental noise, and therefore, how to effectively identify the vibration sound and the noise is the key for success of the method. The existing common method has insufficient attention to the problem, and no effective measure is taken to solve the problem.
Disclosure of Invention
The invention aims to provide a method and a system for filtering a vibration and sound detection signal in a transformer running state, which can filter background noise and effectively identify vibration and sound.
In order to achieve the purpose, the invention provides the following scheme:
a method for filtering a vibration and sound detection signal in a transformer operation state comprises the following steps:
acquiring a vibration signal sequence, wherein the vibration signal sequence comprises a plurality of vibration signals;
determining a signal difference sequence by adopting a vibration signal difference method according to the vibration signal sequence;
respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence;
and carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
Optionally, the determining the signal difference sequence by using a vibration signal difference method according to the vibration signal sequence specifically includes:
determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
Optionally, the determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence respectively includes:
the desired sequence is determined according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
determining a hyperplane projection matrix according to the following formula:
in the formula, WOPTRepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
Optionally, the performing filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence specifically includes:
determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
The invention also provides a system for filtering the vibration and sound detection signal of the running state of the transformer, which comprises:
the vibration signal sequence acquisition module is used for acquiring a vibration signal sequence, and the vibration signal sequence comprises a plurality of vibration signals;
the signal differential sequence determining module is used for determining a signal differential sequence by adopting a vibration signal difference method according to the vibration signal sequence;
the expected sequence and hyperplane projection matrix determining module is used for respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence;
and the filtering module is used for carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
Optionally, the signal difference sequence determining module specifically includes:
a signal difference sequence determination unit for determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
Optionally, the module for determining the desired sequence and the hyperplane projection matrix specifically includes:
a desired sequence determination unit for determining a desired sequence according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
a hyperplane projection matrix determination unit, configured to determine a hyperplane projection matrix according to the following formula:
in the formula, WOPTRepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
Optionally, the filtering module specifically includes:
a filtering unit for determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a method and a system for filtering a vibration and sound detection signal in a transformer running state, wherein a vibration signal sequence is obtained, and a signal difference sequence is determined by adopting a vibration signal difference method according to the vibration signal sequence; respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence; and filtering according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence, so that background noise can be filtered, and vibration and sound identification can be effectively carried out.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for filtering a vibration and sound detection signal in a transformer operating state according to an embodiment of the present invention;
fig. 2 is a structural diagram of a vibration and sound detection signal filtering system in the transformer operation state according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for filtering a vibration and sound detection signal in a transformer running state, which can filter background noise and effectively identify vibration and sound.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Examples
Fig. 1 is a flowchart of a method for filtering a vibration and sound detection signal in a transformer operating state according to an embodiment of the present invention, and as shown in fig. 1, the method for filtering a vibration and sound detection signal in a transformer operating state includes:
step 101: a vibration signal sequence is acquired, the vibration signal sequence including a plurality of vibration signals.
Step 102: and determining a signal difference sequence by adopting a vibration signal difference method according to the vibration signal sequence.
determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
Step 103: and respectively determining the expected sequence and the hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence.
the desired sequence is determined according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
determining a hyperplane projection matrix according to the following formula:
in the formula, WOPTRepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
Step 104: and carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
Fig. 2 is a structural diagram of a vibration and sound detection signal filtering system in the transformer operation state according to an embodiment of the present invention. As shown in fig. 2, a system for filtering a vibration and sound detection signal in an operation state of a transformer includes:
a vibration signal sequence obtaining module 201, configured to obtain a vibration signal sequence, where the vibration signal sequence includes a plurality of vibration signals.
And the signal difference sequence determining module 202 is configured to determine the signal difference sequence by using a vibration signal difference method according to the vibration signal sequence.
The signal difference sequence determining module 202 specifically includes:
a signal difference sequence determination unit for determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
And the expected sequence and hyperplane projection matrix determining module 203 is used for determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence respectively.
The expected sequence and hyperplane projection matrix determination module 203 specifically includes:
a desired sequence determination unit for determining a desired sequence according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
a hyperplane projection matrix determination unit, configured to determine a hyperplane projection matrix according to the following formula:
in the formula,WOPTrepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
And the filtering module 204 is configured to perform filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
The filtering module 204 specifically includes:
a filtering unit for determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In summary, this summary should not be construed to limit the present invention.
Claims (8)
1. A method for filtering a vibration and sound detection signal in a transformer operation state is characterized by comprising the following steps:
acquiring a vibration signal sequence, wherein the vibration signal sequence comprises a plurality of vibration signals;
determining a signal difference sequence by adopting a vibration signal difference method according to the vibration signal sequence;
respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence;
and carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
2. The method for filtering the vibration and sound detection signal in the operating state of the transformer according to claim 1, wherein the determining the signal difference sequence by using the vibration signal difference method according to the vibration signal sequence specifically comprises:
determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
3. The method for filtering the vibro-acoustic detection signal under the operating condition of the transformer according to claim 2, wherein the determining the expected sequence and the hyperplane projection matrix according to the vibro-signal sequence and the signal difference sequence comprises:
the desired sequence is determined according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
determining a hyperplane projection matrix according to the following formula:
in the formula, WOPTRepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
4. The method for filtering a vibro-acoustic detection signal in a transformer operating state according to claim 3, wherein the filtering according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence specifically comprises:
determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
5. A transformer running state vibration and sound detection signal filtering system is characterized by comprising:
the vibration signal sequence acquisition module is used for acquiring a vibration signal sequence, and the vibration signal sequence comprises a plurality of vibration signals;
the signal differential sequence determining module is used for determining a signal differential sequence by adopting a vibration signal difference method according to the vibration signal sequence;
the expected sequence and hyperplane projection matrix determining module is used for respectively determining an expected sequence and a hyperplane projection matrix according to the vibration signal sequence and the signal difference sequence;
and the filtering module is used for carrying out filtering processing according to the expected sequence and the hyperplane projection matrix to obtain a filtered signal sequence.
6. The system for filtering a vibration and sound detection signal in an operating state of a transformer according to claim 5, wherein the signal difference sequence determining module specifically comprises:
a signal difference sequence determination unit for determining a signal difference sequence according to the following formula:
ΔS＝[0,s2-s1,s3-s2,…,sN-sN-1]
in the formula, Δ S represents a signal difference sequence, and the vibration signal sequence S ═ S1,s2,…,sN]N denotes the length of the vibration signal sequence, SNRepresents the nth element of S.
7. The system for filtering a vibro-acoustic detection signal under an operating condition of a transformer according to claim 6, wherein the module for determining the expected sequence and the hyperplane projection matrix comprises:
a desired sequence determination unit for determining a desired sequence according to the following formula:
wherein,
in the formula, S*Representing the desired sequence, p representing the order of the hyperplane projection, σSRepresenting the mean square error, σ, of the vibration signal sequence SΔSRepresenting the mean square error of the signal difference sequence delta S, and SNR represents the signal-to-noise ratio of the vibration signal sequence;
a hyperplane projection matrix determination unit, configured to determine a hyperplane projection matrix according to the following formula:
in the formula, WOPTRepresenting a hyperplane projection matrix, w representing an intermediate vector, λMAXRepresents the maximum eigenvalue of the spatial matrix a, a { [ Δ S { ]]T[ΔS]-STS}p。
8. The system for filtering a vibration and sound detection signal under an operating state of a transformer according to claim 7, wherein the filtering module specifically comprises:
a filtering unit for determining a filtered signal sequence according to the following formula:
SNEW＝WOPTS*
in the formula, SNEWRepresenting the filtered signal sequence.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911062093.XA CN110632478A (en) | 2019-11-02 | 2019-11-02 | Transformer state vibration and sound detection signal filtering method and system by utilizing hyperplane projection |
| CN201911062093X | 2019-11-02 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111929551A true CN111929551A (en) | 2020-11-13 |
Family
ID=68978767
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911062093.XA Withdrawn CN110632478A (en) | 2019-11-02 | 2019-11-02 | Transformer state vibration and sound detection signal filtering method and system by utilizing hyperplane projection |
| CN202010971882.1A Withdrawn CN111929551A (en) | 2019-11-02 | 2020-09-16 | Method and system for filtering vibration and sound detection signals of transformer in running state |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911062093.XA Withdrawn CN110632478A (en) | 2019-11-02 | 2019-11-02 | Transformer state vibration and sound detection signal filtering method and system by utilizing hyperplane projection |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110632478A (en) |
-
2019
- 2019-11-02 CN CN201911062093.XA patent/CN110632478A/en not_active Withdrawn
-
2020
- 2020-09-16 CN CN202010971882.1A patent/CN111929551A/en not_active Withdrawn
Also Published As
| Publication number | Publication date |
|---|---|
| CN110632478A (en) | 2019-12-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111665405A (en) | Vibration and sound detection signal filtering method and system based on sparsity minimization | |
| CN111664933A (en) | Method and system for filtering vibration and sound detection signal by utilizing static vector optimization | |
| CN110545086A (en) | Transformer vibration sound signal filtering method and system by utilizing global optimization | |
| CN111780868A (en) | Transformer running state vibration and noise detection method and system by utilizing Jeffery difference | |
| CN111664934A (en) | Transformer state vibration and sound detection signal filtering method and system using feature selection | |
| CN110017894B (en) | Method and device for filtering random noise in vibration and sound detection of transformer in running state | |
| CN110703145A (en) | Transformer vibration sound signal reconstruction method and system by using multiple optimization theories | |
| CN110514295B (en) | Transformer running state vibration and sound detection signal filtering method and system by utilizing SVD (singular value decomposition) | |
| CN110286289B (en) | Filtering method for vibration and sound detection signal of transformer | |
| CN110286287B (en) | Wavelet transform-based method and system for filtering vibration and sound detection signals of running state of transformer | |
| CN111649819A (en) | Transformer state vibration and sound detection signal filtering method and system using iteration soft threshold | |
| CN111751098A (en) | Vibration and sound detection signal reconstruction method and system by using Gaussian prediction model | |
| CN112417994B (en) | Vibration and sound detection signal filtering method and system using regularization factor | |
| CN111929551A (en) | Method and system for filtering vibration and sound detection signals of transformer in running state | |
| CN110646691B (en) | Transformer vibration sound signal filtering method and system by utilizing stretching transformation | |
| CN111879403A (en) | Vibration and sound detection signal reconstruction method and system by using weak signal retention | |
| CN111473861A (en) | Transformer state vibration and sound detection signal reconstruction method and system by using sparse errors | |
| CN110320435A (en) | A kind of running state of transformer vibration sound detection signal reconfiguring method and system using data regularization | |
| CN112304419A (en) | Vibration and sound detection signal reconstruction method and system by using generalized sparse coding | |
| CN112307993B (en) | Method and system for filtering vibration and sound detection signals by using local similarity | |
| CN112345226B (en) | Vibration and sound detection signal reconstruction method and system by utilizing block coordination minimization | |
| CN111141384A (en) | Transformer state vibration and sound detection signal reconstruction method and system by utilizing Frechet regularization | |
| CN112284520B (en) | Vibration and sound detection signal reconstruction method and system by using optimal rank approximation | |
| CN111680604A (en) | Method and system for filtering vibration and sound detection signals by using Fatemi condition | |
| CN110837013A (en) | Transformer state vibration and sound detection signal reconstruction method and system represented by sparse dictionary |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201113 |
|
| WW01 | Invention patent application withdrawn after publication |