CN112557498B - Vortex energy distribution quantitative detection method and device based on cross entropy - Google Patents

Vortex energy distribution quantitative detection method and device based on cross entropy Download PDF

Info

Publication number
CN112557498B
CN112557498B CN202011364555.6A CN202011364555A CN112557498B CN 112557498 B CN112557498 B CN 112557498B CN 202011364555 A CN202011364555 A CN 202011364555A CN 112557498 B CN112557498 B CN 112557498B
Authority
CN
China
Prior art keywords
energy
eddy current
distribution
vortex
annular region
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.)
Active
Application number
CN202011364555.6A
Other languages
Chinese (zh)
Other versions
CN112557498A (en
Inventor
陈国龙
曹政
王守瑞
王慷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lanzhou University of Technology
Original Assignee
Lanzhou University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Lanzhou University of Technology filed Critical Lanzhou University of Technology
Priority to CN202011364555.6A priority Critical patent/CN112557498B/en
Publication of CN112557498A publication Critical patent/CN112557498A/en
Application granted granted Critical
Publication of CN112557498B publication Critical patent/CN112557498B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/72Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
    • G01N27/82Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
    • G01N27/90Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Operations Research (AREA)
  • Algebra (AREA)
  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • Biochemistry (AREA)
  • Pathology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)

Abstract

The invention provides a quantitative detection method and a quantitative detection device for eddy energy distribution based on cross entropy, wherein the method comprises the steps of dividing a plane into N annular areas outwards by taking an eddy sensor as a center; obtain a circular ring-shaped region R i Calculating the total energy of the eddy current of the plane; for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight; calculating probability distribution and average distribution of vortex energy; substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy. According to the scheme of the invention, the eddy energy distribution in the investigation region can be determined during the design of the planar eddy current sensor, and the difference of the two eddy energy distributions can be quantitatively determined.

Description

Vortex energy distribution quantitative detection method and device based on cross entropy
Technical Field
The invention relates to the field of electromagnetic nondestructive detection, in particular to a quantitative detection method and device for eddy energy distribution based on cross entropy.
Background
The flexible planar vortex sensor is used as a novel planar vortex sensor, so that the limitation of the traditional rigid sensor in detection is overcome, namely, the flexible sensor can adapt to the detection of a complex deformation area. Because of the space limitation of the flexible planar eddy current sensor, the number of turns of the coil is small, so that the eddy current energy distribution induced in the conductor is of great importance, and the detection performance of the planar eddy current sensor on cracks in a metal member is directly affected.
The document 'vortex energy distribution-based vortex sensor performance evaluation method' proposes a vortex energy distribution-based vortex sensor performance evaluation method, wherein a set investigation region is divided into a plurality of annular regions, then vortex radial energy distribution values corresponding to the annular regions are obtained according to the vortex energy of the annular regions, finally the values of the vortex radial energy distributions are brought into a shannon information entropy formula to obtain information entropy based on the vortex radial energy distribution, and finally the concentration degree of the vortex energy distribution in the investigation region is evaluated according to the information entropy. In paper Two Novel Information Entropy Indices for Analysis of the Eddy Current Distribution, a vortex radial energy distribution based on shannon information entropy is proposed, a radial energy spectrum entropy algorithm is adopted, discrete random variables are established, the vortex energy of each ring is used as an event to construct probability distribution, a vortex radial energy spectrum is obtained, and finally the radial energy distribution of the vortex is evaluated according to the information entropy.
The above document has proposed an eddy current sensor performance detection method based on eddy current energy distribution and evaluates the concentration degree of the eddy current energy distribution in the investigation region according to shannon information entropy, and at the same time, also serves as a quantitative optimization index of the eddy current sensor. Although these methods can quantitatively evaluate the eddy current energy distribution, the difference between the two eddy current distributions cannot be quantitatively determined.
Disclosure of Invention
In order to solve the technical problems, the invention provides a quantitative detection method and a quantitative detection device for vortex energy distribution based on cross entropy, which are used for solving the problem that the difference between two vortex distributions cannot be quantitatively determined in the prior art.
According to a first aspect of the present invention, there is provided a method for quantitative detection of eddy current energy distribution based on cross entropy, the method comprising the steps of:
step S101: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
step S102: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain a circular area R i Calculating the total energy of the eddy current of the plane;
step S103: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
step S104: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated;
step S105: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
According to a second aspect of the present invention, there is provided a cross entropy based eddy current energy distribution quantitative detection apparatus, the apparatus comprising:
the dividing module: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
a first calculation module: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain a circular area R i Calculating the total energy of the eddy current of the plane;
a second calculation module: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
and a distribution calculation module: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated;
a cross entropy calculation module: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
According to a third aspect of the present invention, there is provided a cross entropy-based eddy energy distribution quantitative detection system, comprising:
a processor for executing a plurality of instructions;
a memory for storing a plurality of instructions;
wherein the plurality of instructions are for storing by the memory and loading and executing by the processor the cross entropy based eddy current energy distribution quantitative detection method as described above.
According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having stored therein a plurality of instructions; the instructions are used for loading and executing the eddy current energy distribution quantitative detection method based on cross entropy.
According to the scheme, the eddy current energy distribution in the investigation region can be determined during the design of the planar eddy current sensor, and the difference of the two eddy current energy distributions can be quantitatively determined.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, illustrate the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a quantitative detection method for eddy current energy distribution based on cross entropy according to one embodiment of the invention;
FIG. 2 is a graph of the energy distribution of eddy currents in an annular region taken in accordance with one embodiment of the present invention;
FIG. 3 is a graph of eddy current energy distribution of spaced samples within an annular region in accordance with one embodiment of the present invention;
FIG. 4 is a schematic representation of a circular energy spectrum of one embodiment of the present invention;
fig. 5 is a block diagram of a quantitative detection device for eddy current energy distribution based on cross entropy according to one embodiment of the present invention.
Detailed Description
First, a flow of a method for quantitatively detecting eddy current energy distribution based on cross entropy according to an embodiment of the present invention will be described with reference to fig. 1. As shown in fig. 1, the method comprises the steps of:
step S101: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
step S102: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain a circular area R i Calculating the total energy of the eddy current of the plane;
step S103: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
step S104: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated;
step S105: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
The step S101: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein 1.ltoreq.i.ltoreq.N, comprising:
the radial energy spectrum of the vortex energy distribution of the vortex sensor is obtained by adopting finite element simulation to calculate the vortex energy in a plane.
The plane is divided outwardly into a plurality of annular regions centered on the eddy current sensor as shown in fig. 2, the annular regions being adjacent to each other.
The step S102: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain each annular region R i Calculating the total eddy current energy of the plane, comprising:
as shown in FIG. 3, for the annular region R i Dividing the region at equal intervals, and sampling the divided region at equal intervals to obtain an eddy current vector J of the region x ,J y Thereby obtaining the vortex energy in the area
Annular region R i Is not less than the eddy current energy E i The calculation formula of (2) is
Where (x, y) is the coordinates at the point of the corresponding vortex vector,i represents the ith annular area, r, which is the distance from the center of the eddy current sensor to the sampling point 0 Is the distance between the center of the eddy current sensor and the first ring, and r 0 Equal to the width of each annular region;
the total energy E of the plane eddy current is
The step S103: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i And a total eddy current energy of a weighted plane, wherein:
the weighted annular region R i Is not less than the eddy current energy E i The' calculation mode is as follows:
each annular region R i Internal vortex energy E i ' the calculation formula:
the total energy of the vortex of the plane with weight is
The step S104: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated by the vortex energy of the plane with weight and the total vortex energy of the plane with weight, and the method comprises the following steps:
the probability distribution of eddy energy is:
the average distribution of eddy energy is:
in this example, the probability distribution of vortex energy is obtained by dividing the vortex energy in each ring region with a weight of Zhou Changquan by the sum of the vortex energy in all ring regions with a weight of Zhou Changquan.
The step S105: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain cross entropy of vortex radial energy distribution based on cross entropy, wherein,
the cross entropy calculation formula is:
in this embodiment, the annular energy spectrum is shown in FIG. 4.
The specific shape of the annular region of this embodiment is circular, similar to the shape of the excitation coil of the eddy current sensor. As can be seen from fig. 2, if the set investigation region of the present embodiment is a circle, the eddy current sensor with the excitation coil being a circular coil is more suitable for detecting the circular set investigation region; at this time, the set examination area is divided into N annular areas of equal width and adjacent to each other in the radial direction outward with the center of the circle as the center, and the circle located at the center may be approximately an annular area with zero inner diameter.
The investigation region is set to be the surface of the crack test piece to be tested or a plane parallel to the surface of the crack test piece to be tested.
The embodiment of the invention further provides a quantitative detection device for eddy energy distribution based on cross entropy, as shown in fig. 5, the device comprises:
the dividing module: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
a first calculation module: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain a circular area R i Calculating the total energy of the eddy current of the plane;
a second calculation module: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
and a distribution calculation module: based on the weighted annular region R i And the total energy of eddy current of plane with weight, calculates the probability of eddy current energyDistribution and average distribution;
a cross entropy calculation module: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
The embodiment of the invention further provides a vortex energy distribution quantitative detection system based on cross entropy, which comprises the following steps:
a processor for executing a plurality of instructions;
a memory for storing a plurality of instructions;
wherein the plurality of instructions are for storing by the memory and loading and executing by the processor the cross entropy based eddy current energy distribution quantitative detection method as described above.
The embodiment of the invention further provides a computer readable storage medium, wherein a plurality of instructions are stored in the storage medium; the instructions are used for loading and executing the eddy current energy distribution quantitative detection method based on cross entropy.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for making a computer device (which may be a personal computer, a physical machine Server, or a network cloud Server, etc., and need to install a Windows or Windows Server operating system) execute part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above description is only of the preferred embodiments of the present invention, and is not intended to limit the present invention in any way, but any simple modification, equivalent variation and modification made to the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.

Claims (10)

1. The eddy energy distribution quantitative detection method based on cross entropy is characterized by comprising the following steps of:
step S101: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
step S102: for the annular region R i Internal proceeding equal intervalSampling at intervals to obtain vortex vector to obtain circular region R i Calculating the total energy of the eddy current of the plane;
step S103: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
step S104: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated;
step S105: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
2. The method for quantitative detection of eddy current energy distribution based on cross entropy according to claim 1, wherein the step S102: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain each annular region R i Calculating the total eddy current energy of the plane, comprising:
annular region R i Is not less than the eddy current energy E i The calculation formula of (2) is
Where (x, y) is the coordinates at the point of the corresponding vortex vector,i represents the ith annular area, r, which is the distance from the center of the eddy current sensor to the sampling point 0 Is the distance between the center of the eddy current sensor and the first ring, and r 0 Equal to the width of each annular region;
the total energy E of the plane eddy current is
3. The method for quantitative detection of eddy current energy distribution based on cross entropy according to claim 2, wherein the step S103: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i And a total eddy current energy of a weighted plane, wherein:
the weighted annular region R i Is not less than the eddy current energy E' i The calculation mode of (a) is as follows:
each annular region R i Internal vortex energy E' i Is calculated according to the formula:
the total energy of the vortex of the plane with weight is
4. The method for quantitative detection of eddy current energy distribution based on cross entropy according to claim 3, wherein the step S104: based on the weighted annular region R i The probability distribution and the average distribution of the vortex energy are calculated by the vortex energy of the plane with weight and the total vortex energy of the plane with weight, and the method comprises the following steps:
the probability distribution of eddy energy is:
the average distribution of eddy energy is:
5. the method for quantitative detection of eddy current energy distribution based on cross entropy according to claim 4, wherein the step S105: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain cross entropy of vortex radial energy distribution based on cross entropy, wherein,
the cross entropy calculation formula is:
6. a cross entropy-based eddy current energy distribution quantitative detection device, the device comprising:
the dividing module: acquiring a radial energy spectrum of eddy current energy distribution of an eddy current sensor, dividing a plane into N annular areas outwards by taking the eddy current sensor as a center, wherein the annular areas are mutually adjacent, and the annular areas are marked as R i Wherein i is more than or equal to 1 and less than or equal to N;
a first calculation module: for the annular region R i Sampling at equal intervals to obtain vortex vectors to obtain a circular area R i Calculating the total energy of the eddy current of the plane;
a second calculation module: for the annular region R i Assigning a weight coefficient k related to circumference i Calculating a weighted annular region R i Is defined, the total energy of the eddy currents of the plane with weight;
and a distribution calculation module: based on the weighted annular region R i Is calculated by calculating the eddy current energy of the plane with weightProbability distribution and average distribution of the quantity;
a cross entropy calculation module: substituting the probability distribution and the average distribution of the vortex energy into a cross entropy calculation formula to obtain the cross entropy of the vortex radial energy distribution based on the cross entropy.
7. The cross-entropy based eddy current energy distribution quantitative detection apparatus of claim 6, wherein the first calculation module comprises:
the annular region calculation sub-module: annular region R i Is not less than the eddy current energy E i The calculation formula of (2) is E iWherein (x, y) is the coordinates at the point of the corresponding vortex vector, < >>I represents the ith annular area, r, which is the distance from the center of the eddy current sensor to the sampling point 0 Is the distance between the center of the eddy current sensor and the first ring, and r 0 Equal to the width of each annular region;
a planar total energy operator module: the total energy E of the planar vortex is
8. The cross-entropy based eddy current energy distribution quantitative detection apparatus of claim 7, wherein the second calculation module, wherein:
weighted annular region R i Is not less than the eddy current energy E' i The calculation mode of (a) is as follows:
each annular region R i Internal vortexEnergy of flow E i ' the calculation formula:
the total energy of the vortex of the plane with weight is
9. An eddy energy distribution quantitative detection system based on cross entropy, comprising:
a processor for executing a plurality of instructions;
a memory for storing a plurality of instructions;
wherein the plurality of instructions are for storage by the memory and loading and executing by the processor the cross-entropy based eddy current energy distribution quantitative detection method of any one of claims 1-5.
10. A computer-readable storage medium having stored therein a plurality of instructions; the plurality of instructions for loading and executing by a processor the cross-entropy based eddy current energy distribution quantitative detection method of any one of claims 1-5.
CN202011364555.6A 2020-11-27 2020-11-27 Vortex energy distribution quantitative detection method and device based on cross entropy Active CN112557498B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011364555.6A CN112557498B (en) 2020-11-27 2020-11-27 Vortex energy distribution quantitative detection method and device based on cross entropy

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011364555.6A CN112557498B (en) 2020-11-27 2020-11-27 Vortex energy distribution quantitative detection method and device based on cross entropy

Publications (2)

Publication Number Publication Date
CN112557498A CN112557498A (en) 2021-03-26
CN112557498B true CN112557498B (en) 2024-04-09

Family

ID=75045203

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011364555.6A Active CN112557498B (en) 2020-11-27 2020-11-27 Vortex energy distribution quantitative detection method and device based on cross entropy

Country Status (1)

Country Link
CN (1) CN112557498B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105138791A (en) * 2015-09-09 2015-12-09 北京理工大学 Evaluating method for excitation mode of eddy current sensor based on information entropy
CN105844053A (en) * 2016-04-12 2016-08-10 北京理工大学 Vortex flow transducer evaluation method based on fractal information dimensions
CN109900784A (en) * 2019-01-30 2019-06-18 兰州理工大学 A kind of Eddy Distribution evaluation method of the comentropy based on triangular angular spectrum
CN110220970A (en) * 2019-05-21 2019-09-10 兰州理工大学 A kind of eddy current sensor method of evaluating performance based on vortex Energy distribution

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5544511B2 (en) * 2009-12-16 2014-07-09 富士通株式会社 Vortex extraction apparatus, vortex extraction method, vortex extraction program, and vortex extraction display system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105138791A (en) * 2015-09-09 2015-12-09 北京理工大学 Evaluating method for excitation mode of eddy current sensor based on information entropy
CN105844053A (en) * 2016-04-12 2016-08-10 北京理工大学 Vortex flow transducer evaluation method based on fractal information dimensions
CN109900784A (en) * 2019-01-30 2019-06-18 兰州理工大学 A kind of Eddy Distribution evaluation method of the comentropy based on triangular angular spectrum
CN110220970A (en) * 2019-05-21 2019-09-10 兰州理工大学 A kind of eddy current sensor method of evaluating performance based on vortex Energy distribution

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
VVER涡流导热管管道圆图像定位算法技术研究;崔孝斌;中国优秀硕士学位论文全文数据库(工程科技Ⅱ辑);20200115(第01期);全文 *
基于空间分布熵的电磁脉冲涡流无损检测方法;张荣华;刘珊;张牧;刘建旭;王琦;王化祥;;仪器仪表学报;20150415(第04期);全文 *

Also Published As

Publication number Publication date
CN112557498A (en) 2021-03-26

Similar Documents

Publication Publication Date Title
CN105787104B (en) Method and device for acquiring user attribute information
CN111614690B (en) Abnormal behavior detection method and device
CN110956613B (en) Image quality-based target detection algorithm performance normalization evaluation method and system
CN110333078B (en) Rolling bearing degradation state stage determination method
CN108229545B (en) Glaucoma diagnosis method and device and electronic equipment
CN114818828B (en) Training method of radar interference perception model and radar interference signal identification method
CN112557498B (en) Vortex energy distribution quantitative detection method and device based on cross entropy
CN115079052A (en) Transformer fault diagnosis method and system
CN110445772B (en) Internet host scanning method and system based on host relationship
EP2852316A1 (en) Detection of disease-related retinal nerve fiber layer thinning
CN111461177B (en) Image identification method and device
CN112966778A (en) Data processing method and device for unbalanced sample data
CN109308264B (en) Method for evaluating data desensitization effect, corresponding device and storage medium
CN111652277A (en) False positive filtering method, electronic device and computer readable storage medium
CN117134958A (en) Information processing method and system for network technology service
CN112578020B (en) Quantitative detection method and device based on information entropy time-space domain vortex distribution
CN116597197A (en) Long-tail target detection method capable of adaptively eliminating negative gradient of classification
CN115413026A (en) Base station selection method, system, equipment and storage medium based on clustering algorithm
CN113836297B (en) Training method and device for text emotion analysis model
CN112435210B (en) Quality detection method and device for annular device
CN114397543A (en) Electrical equipment partial discharge positioning method, device, equipment and computer medium
CN112798683B (en) Eddy current sensor performance detection method and device based on tangential angle spectrum relative entropy
CN111721568A (en) Spacecraft structure fault diagnosis method, device, system and storage medium
CN116953071A (en) Equipment flaw detection method and system based on array pulse eddy current
CN116839646A (en) Sensor detection method and device and electronic equipment

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
GR01 Patent grant
GR01 Patent grant