CN110308206A - Based on EMD generalized phase arrangement entropy to the discrimination method of close metal material - Google Patents
Based on EMD generalized phase arrangement entropy to the discrimination method of close metal material Download PDFInfo
- Publication number
- CN110308206A CN110308206A CN201910731126.9A CN201910731126A CN110308206A CN 110308206 A CN110308206 A CN 110308206A CN 201910731126 A CN201910731126 A CN 201910731126A CN 110308206 A CN110308206 A CN 110308206A
- Authority
- CN
- China
- Prior art keywords
- metal material
- signal
- entropy
- sequence
- emd
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0234—Metals, e.g. steel
Landscapes
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Signal Processing (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention belongs to metal material Ultrasonic Nondestructive technical fields, more particularly to a kind of discrimination method based on based on EMD generalized phase arrangement entropy to close metal material, mainly pre-processed by metal material, acquire ultrasonic original signal, empirical mode decomposition extracts high-frequency signal, determine that identification can be completed in the arrangement entropy comparison of high-frequency signal generalized phase, the present invention is that the Ultrasonic Nondestructive technology based on EMD generalized phase arrangement plan method is applied to close metal material identification field for the first time, or damage pollution-free to detection metal material, it is quick time saving, identification effect is stablized, tool has significant practical applications.
Description
Technical field
The invention belongs to metal Undamaged determination technical fields, in particular to a kind of to arrange entropy to phase based on EMD generalized phase
The discrimination method of nearly metal material.
Background technique
The development of industrial technology is inseparable with metal material, and existing mineral resources can no longer meet the need of economic development
It asks, properties similar metals material can be used as the substitute of production and living, but the fields pair such as some aspects are for example military, space flight
The specific demand of metal material, needs whether strict inspection metal material meets the requirements, therefore metal material clustering recognition is increasingly
It is important.
Traditional metal material discrimination method has physics identification and chemistry identification.Wherein, physics identification is by metal
What Macroscopic physical feature or its microscopic feature shown in physical process carried out.Common method has sense organ identification, breaks
Mouth identification and spark identification etc..Due to physics discrimination method is simple, conveniently, easy to operate, live property it is good and analyze precision can
From qualitative to sxemiquantitative, for general common metal material, these methods have been able to satisfy requirement, but there are also-fixed limitation,
Such as some discrimination methods damage, and these method errors are all bigger, it is sometimes not bery accurate.Chemistry identification is to pass through
Chemical reaction analyzes the constituent of metal to recognize the method for being which kind of metal.Common chemical composition analysis method has titration
Analysis method, gravimetry and volumetric analysis etc..Chemical discrimination method is unable to on-line analysis, more complex and damage.For
The anti-counterfeiting identification of precious metal material or precious metal collection in practice, these methods are obviously very improper.
The abundant information that material internal and surface texture are not only carried in the echo-signal that ultrasonic testing system obtains, can also
Characterize the heterogeneous microstructure of metal material.Therefore Ultrasonic NDT is used, gold is extracted based on EMD generalized phase arrangement plan method
Belong to the feature of material as label, is used for Fast Identification.
Summary of the invention
In order to overcome the shortcomings of the prior art, the present invention provides one kind to arrange entropy pair based on EMD generalized phase
The discrimination method of close metal material can rapidly identify different metal materials, realize the lossless of metal material
Identify.
The technical scheme adopted by the invention is that:
Of the invention arranges entropy to the discrimination method of close metal material based on EMD generalized phase, comprises the steps of:
(1) time-domain signal is acquired
Transmitting-receiving probe is connect with pulse reception/transmitter, couplant is added and is placed in the surface with reference to metal material, ultrasound
Probe transmitting pulse signal, by received with pulse/oscillograph that connect of transmitter is to the received echo-signal of transmitting-receiving probe
It is sampled, through multiple repairing weld and is averaged, obtain the time domain waveform with reference to metal material;
(2) characteristic component is extracted
Successively divided using Empirical mode decomposition time domain waveform X (t) with reference to metal material collected to step (1)
It solves, then the characteristic component entropy g of the echo-signal with reference to metal material is calculated with generalized phase arrangement plan methodq,δ;It is described
Generalized phase arrangement plan method formula are as follows:
Wherein, v represents the position of data sequence in the characteristic signal extracted with reference to metal material, PVIt represents and refers to metal material
Expect the probability of same position sequence occur in the characteristic signal data sequence extracted;Q is represented in amplification metal material characteristic signal
There is the value of same position probability, δ, which is represented in the amplification metal material characteristic signal of index again, there is the value of same position probability,
R, which is represented, amplifies the real number value that the same position probability for the characteristic signal data sequence extracted can be chosen, R ∈ (0,1];
(3) characteristic component of material to be detected is extracted
The characteristic component entropy of the echo-signal of material to be detected is extracted with step (1) and the identical method of step (2);
(4) characteristic component compares
By the reference gold of the characteristic component entropy of the echo-signal of the obtained material to be detected of step (3) and step (2)
The characteristic component entropy for belonging to the echo-signal of material is compared, if the two is consistent, detected materials and reference metal material are same
Matter completes identification;Otherwise, step (5) is carried out;
(5) it repeats to compare
Another metal material for being different from step (1) is chosen as metal material is referred to, repeats step (1)~(4), directly
To the material for determining detected materials.
It further limits, the step (2) specifically:
2.1) identification step (1) acquires the local extremum of the time domain waveform signal X (t) with reference to metal material, connects pole
Big value obtains coenvelope line, and connection minimum obtains lower envelope line, obtains equal value sequence m according to upper and lower envelope1;
2.2) empirical mode decomposition is carried out to original signal using following formula, determines IMF component;
X(t)-mi(t)=hi(t), i ∈ n
mi(t) the equal value sequence of i-th of signal to be decomposed or more envelope line computation is represented;hi(t) i-th decomposed is represented
Characteristic component;
Work as hi(t) meet following two condition: being Local Symmetric and zero point and extreme point number phase about zero-mean line
Deng;When the mean value of envelope up and down that signal local maximum and minimum define is 0, then hiIt (t) is IMF component;
2.3) the characteristic component entropy of the IMF component of step (2.2) decomposition is determined using generalized phase arrangement plan method,
Middle generalized phase arrangement plan method formula are as follows:
It further limits, the step (2.3) is specially
(2.3.1) seeks the instantaneous phase sequence θ of each IMF signal with reference to metal material using Hilbert transform method
(i), sequence length N;
(2.3.2) carries out phase space reconfiguration to the instantaneous phase sequence θ (i) that step (2.3.1) acquires, and obtains reproducing sequence
Zj, reproducing sequence number is N- (m-1) * t;
Zj=[θ (j), θ (j+t) ..., θ (j+ (m-1) t)], 1≤j≤N- (m-1) t
Wherein m is phase space reconfiguration dimension, and t is the time delay of reconstruct;
(2.3.3) is by reproducing sequence ZjK is arranged as by numerical value ascending order1,k2,…km, obtain position sequence Sj, and determine position
The identical sequence number of sequence, is denoted as Numv;
Sj=(k1,k2,…km), 1≤j≤N- (m-1) τ
(2.3.4) using step (2.3.3) various arrangements occur frequency as its probability, then obtain various arrangements
Probability is
(2.3.5) utilizes two parameter entropy Sq,δDefine it is appropriate go out with reference to metal material echo-signal characteristic component entropy
Value gq,δ,
It further limits, the pulse voltage of the pulse reception/transmitter is 100~300V, pulse recurrence frequency 100
~300Hz;Oscillograph sampling rate is 100MHz~5GHz, and sampling number is 1000~5000 times;Receive and dispatch the center frequency of probe
Rate is 1~10MHz.
It further limits, the couplant is water or glycerol.
Further limit, it is described with reference to metal material be pure metal or alloy, intermetallic compound and special metal material,
The pure metal material be beryllium, magnesium, aluminium, indium, germanium, tin, lead, antimony, titanium, vanadium, chromium, manganese, iron, cobalt, nickel, zinc, yttrium, zirconium, niobium, molybdenum,
Ruthenium, rhodium, palladium, silver, cadmium, hafnium, tantalum, tungsten, iridium, platinum or gold.
Of the invention arranges entropy to the discrimination method of close metal material based on EMD generalized phase, mainly utilizes metal
Material internal microstructural differences extract the characteristic component of significant difference, using EMD generalized phase arrangement plan method to otherness
Characteristic component handled, realize the ultrasonic wave Undamaged determination of close metal material, compared with prior art, have it is following excellent
Point:
(1) method of the invention only needs to make ultrasonic wave transmitting probe that inspection can be completed from a certain face contact object to be detected
It surveys, damage or pollution will not be generated to material itself, easy to operate, safety, equipment is light, quick time saving.
(2) identification identification effect of the invention is stablized, using EMD generalized phase arrangement plan method to the significant difference of extraction
The signal characteristic component of property is handled, and algorithm is simple, and speed is fast, and error is small, can be realized accurate identification.
(3) two parameter entropy Sq, δ, adjustment parameter q and δ have been firstly introduced in discrimination method of the invention, it being capable of amplification time
Nuance in sequence also introduces the phase information of time series, however it is functional independence that Phase synchronization is associated with amplitude
Phenomenon, and phase information includes more key messages, keeps extraction metal material characteristic quantity identification effect significant.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of time-domain signal acquisition system.
Fig. 2 is the time domain waveform with reference to metal material.
Fig. 3 is the exploded view of the time domain waveform with reference to metal material.
Specific embodiment
Technical solution of the present invention is further described now in conjunction with embodiment.
Of the invention comprises the steps of the discrimination method of close metal material based on EMD generalized phase arrangement entropy:
(1) time-domain signal is acquired
Referring to Fig. 1, signal acquisition is carried out using the time-domain signal acquisition system of Fig. 1, is 1~10MHz by centre frequency
Transmitting-receiving probe connect with pulse reception/transmitter that pulse voltage is 100~300V, repetition rate is 100~300Hz, general
Couplant water or glycerol are applied to the surface with reference to metal material, and ultrasonic probe emits pulse signal, transmitted/received by connecing with pulse
The oscillograph for penetrating instrument connection samples the received echo-signal of transmitting-receiving probe, and sampling rate is 100MHz~5GHz, is adopted
It is averaged for sample 1000~5000 times, obtains the time domain waveform with reference to metal material, referring to fig. 2;
(2) characteristic component is extracted
Successively divided using Empirical mode decomposition time domain waveform X (t) with reference to metal material collected to step (1)
Referring to Fig. 3, then the characteristic component entropy of the echo-signal with reference to metal material is calculated with generalized phase arrangement plan method in solution
gq,δ;Specifically:
2.1) local extremum of identification step (1) time domain waveform signal X (t) collected, connection maximum obtain packet
Winding thread, connection minimum obtain lower envelope line, obtain equal value sequence m according to upper and lower envelope1;
2.2) empirical mode decomposition is carried out using following formula clock synchronization domain plethysmographic signals, determines IMF component;
X(t)-mi(t)=hi(t), i ∈ n
Mi (t) represents the equal value sequence of signal to be decomposed or more envelope line computation;Hi (t) represents the characteristic component decomposed;
Conversion are as follows:
h1(t)=X (t)-m1(t)
h2(t)=h1(t)-m2(t)
hi(t)=hi-1(t)-mi(t)
I operation is repeated, by IMF1It is come out from time domain waveform Signal separator, surplus r1(t) the original letter new as one
Number, circulation executes decomposition step;After nth iteration calculates, the r that is shown below is obtainedn(t), work as rn(t) when tending to monotonic function,
It decomposes and terminates.
r2(t)=r1(t)-IMF2(t)
r3(t)=r2(t)-IMF3(t)
…………
rn(t)=rn-1(t)-IMFn(t)
Wherein rn (t) indicates to decompose the average tendency of remainder and signal;
The decomposition of instant domain plethysmographic signal is shown below, and obtains n IMF component and a surplus rn,
When hi (t) meets following two condition: being Local Symmetric and zero point and extreme point number phase about zero-mean line
Deng;The mean value of envelope up and down that signal local maximum and minimum define is 0, then hi (t) is IMF component;
2.3) the characteristic component entropy for the IMF component that step (2.2) are decomposed is calculated using generalized phase arrangement plan method, i.e.,
(2.3.1) seeks the instantaneous phase sequence θ (i) with reference to metal material IMF signal, sequence using Hilbert transform method
Column length is N;
(2.3.2) carries out phase space reconfiguration to the instantaneous phase sequence θ (i) that step (2.3.1) acquires, and obtains reproducing sequence
Zj, reproducing sequence number is N- (m-1) * t;
Zj=[θ (j), θ (j+t) ..., θ (j+ (m-1) t)], 1≤j≤N- (m-1) t
Wherein m is phase space reconfiguration dimension, and t is the time delay of reconstruct;
(2.3.3) is by reproducing sequence ZjK is arranged as by numerical value ascending order1,k2,…km, obtain position sequence Sj, and determine position
The identical sequence number of sequence, is denoted as Numv;
Sj=(k1,k2,…km), 1≤j≤N- (m-1) τ
(2.3.4) using step (2.3.3) various arrangements occur frequency as its probability, then obtain various arrangements
Probability is
(2.3.5) utilizes two parameter entropy Sq,δDefinition calculate the characteristic component entropy of the echo-signal with reference to metal material
Value gq,δ;
Wherein, v represents the position of data sequence in the characteristic signal extracted with reference to metal material, PVIt represents and refers to metal material
Expect the probability of same position sequence occur in the characteristic signal data sequence extracted;Q is represented in amplification metal material characteristic signal
There is the value of same position probability, δ, which is represented in the amplification metal material characteristic signal of index again, there is the value of same position probability,
R, which is represented, amplifies the real number value that the same position probability for the characteristic signal data sequence extracted can be chosen, R ∈ (0,1];
(3) characteristic component of material to be detected is extracted
The characteristic component entropy of the echo-signal of material to be detected is extracted with step (1) and the identical method of step (2);
(4) characteristic component compares
By the reference gold of the characteristic component entropy of the echo-signal of the obtained material to be detected of step (3) and step (2)
The characteristic component entropy for belonging to the echo-signal of material is compared, if the two is consistent, detected materials and reference metal material are same
Matter completes identification;Otherwise, step (5) is carried out;
(5) it repeats to compare
Another metal material for being different from step (1) is chosen as metal material is referred to, repeats step (1)~(4), directly
To the material for determining detected materials.
Metal material to be detected of the invention can be beryllium, magnesium, aluminium, indium, germanium, tin, lead, antimony, titanium, vanadium, chromium, manganese, iron,
The pure metal such as cobalt, nickel, zinc, yttrium, zirconium, niobium, molybdenum, ruthenium, rhodium, palladium, silver, cadmium, hafnium, tantalum, tungsten, iridium, platinum or gold or its alloy or gold
Compound and special metal material between category.
Embodiment 1
Using 304 stainless steels of known mark as metal material is referred to, three kinds of material profiles are cylindrical body, thickness
15mm, diameter 47.1mm, detected materials as shown in table 1 distinguish reference numerals 1#, 2#, 3#, and identification process is specifically by following step
It is rapid to realize:
1 three kinds of detected materials of table
Each component generalized phase arranges entropy entropy after calculating the empirical mode decomposition of 1# detected materials.
Each component generalized phase of 1# detected materials known to table 2 arranges entropy
Three kinds of detected materials are respectively acquired into 10 signals, 10 IMF1 components of three kinds of detected materials is respectively obtained, makes even
Mean value.
3 three kinds of stainless steel material IMF1 characteristic components of table
Stainless steel 1#, which is used as, refers to metal material, and the maximum value in reference metal material IMF1 entropy is denoted as gmax=
17.39, minimum value is denoted as gmin=16.63, and by mean valueAs the entropy of reference metal material, threshold definitions
For Δ=gmax-gmin=0.76;
Same method determines detected materials characteristic component g and refers to metal material characteristic componentIt is compared, ifThen metal material to be measured is recognized with metal material homogeneity, completion is referred to.IfThen metal material to be measured
Material repeats operation above with reference to metal material with reference to metal material not homogeneity, then changing another metal material and be used as, up toThen metal material to be measured is recognized with metal material homogeneity, completion is referred to.
The identification result of 4 three kinds of stainless steel materials of table
Embodiment 2
Using 304 stainless steel 2# of known mark as reference material, three kind of 304 stainless steel metal material distinguishes reference numerals
1#, 2#, 3# import three kinds of material characteristics as material to be identified, and specific identification is realized by following steps:
304 stainless steel metal material 2# and other two kinds of stainless steel materials 1#, 3# phase are mixed, their shapes are cylinder
In shape, with example 1, with a thickness of 15mm, diameter 47.1mm.
The present embodiment will select reference material surface to be polished, cleaned up.Select Panametrics-DNT
5077PR pulse reception/transmitter, the transmitting-receiving probe of connection centre frequency 5MHZ and the oscillography of Tektronix-DPO5034B number
Device, other operations are identical as example 1.
Reference material and detected materials characteristic value are extracted respectively.
Each component of stainless steel material 2# known to table 5 arranges entropy
Other steps are same as Example 1, and the identification result of metal material to be measured is as follows:
6 stainless steel material 2# clustering recognition rate of table
Embodiment 3
Using 304 stainless steel 3# of known mark as reference material, three kind of 304 stainless steel metal material distinguishes reference numerals
1#, 2#, 3# import three kinds of material characteristics as material to be identified, and specific method is realized by following steps:
304 stainless steel metal material 3# and other two kinds of stainless steel materials 1#, 2# phase are mixed, their shapes are cylinder
Shape, as in Example 1, with a thickness of 15mm, diameter 47.1mm.
The present embodiment is based on EMD generalized phase arrangement plan method and recognizes metal material method, and step 1 will be selected and refer to material
It polished, cleaned up in material surface.Panametrics-DNT5077PR pulse reception/transmitter is selected, centre frequency is connected
The transmitting-receiving probe of 5MHZ and Tektronix-DPO5034B digital oscilloscope, other operations are same as Example 1.
Each component of stainless steel material 3# known to table 7 arranges entropy
Other steps are same as Example 1, and the identification result of metal material to be measured is as follows:
8 stainless steel material 3# discrimination power of table
Test result: show to arrange entropy to close METAL EXTRACTION feature based on EMD generalized phase by test comparison, adopt
Analyzing close metal material with KNN algorithm has the effect of that identification is stable, guarantees that classification results are accurate.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to of the invention
Protection scope.
Claims (7)
1. based on EMD generalized phase arrangement entropy to the discrimination method of close metal material, it is characterised in that comprise the steps of:
(1) time-domain signal is acquired
Transmitting-receiving probe is connect with pulse reception/transmitter, couplant is added and is placed in the surface with reference to metal material, ultrasonic probe
Emit pulse signal, by received with pulse/oscillograph that connect of transmitter pops one's head in received echo-signal progress to the transmitting-receiving
Sampling, through multiple repairing weld and is averaged, and obtains the time domain waveform with reference to metal material;
(2) characteristic component is extracted
It is successively decomposed using Empirical mode decomposition time domain waveform X (t) with reference to metal material collected to step (1), then
The characteristic component entropy g of the echo-signal with reference to metal material is calculated with generalized phase arrangement plan methodq,δ;The broad sense
Phase arrangement entropy algorithmic formula are as follows:
Wherein, v represents the position of data sequence in the characteristic signal extracted with reference to metal material, PVRepresentative is mentioned with reference to metal material
Occurs the probability of same position sequence in the characteristic signal data sequence taken;Q is represented to be occurred in amplification metal material characteristic signal
The value of same position probability, δ, which is represented in the amplification metal material characteristic signal of index again, there is the value of same position probability, R generation
The real number value that the same position probability for the characteristic signal data sequence that table amplification is extracted can be chosen, R ∈ (0,1];
(3) characteristic component of material to be detected is extracted
The characteristic component entropy of the echo-signal of material to be detected is extracted with step (1) and the identical method of step (2);
(4) characteristic component compares
By the reference metal material of the characteristic component entropy of the echo-signal of the obtained material to be detected of step (3) and step (2)
The characteristic component entropy of the echo-signal of material is compared, if the two is consistent, detected materials and reference metal material homogeneity are complete
At identification;Otherwise, step (5) is carried out;
(5) it repeats to compare
Another metal material for being different from step (1) is chosen as metal material is referred to, step (1)~(4) are repeated, until really
Make the material of detected materials.
2. the discrimination method according to claim 1 based on EMD generalized phase arrangement entropy to close metal material, feature
It is: the step (2) specifically:
2.1) identification step (1) acquires the local extremum of the time domain waveform signal X (t) with reference to metal material, connects maximum
Coenvelope line is obtained, connection minimum obtains lower envelope line, obtains equal value sequence m according to upper and lower envelope1;
2.2) empirical mode decomposition is carried out to original signal using following formula, determines IMF component;
X(t)-mi(t)=hi(t), i ∈ n
mi(t) the equal value sequence of i-th of signal to be decomposed or more envelope line computation is represented;hi(t) ith feature decomposed is represented
Component;
Work as hi(t) meet following two condition: being that Local Symmetric and zero point and extreme point number are equal about zero-mean line;Letter
When the mean value of envelope up and down that number local maximum and minimum define is 0, then hiIt (t) is IMF component;
2.3) the characteristic component entropy that the IMF component of step (2.2) decomposition is determined using generalized phase arrangement plan method, wherein extensively
Adopted phase arrangement entropy algorithmic formula are as follows:
3. the discrimination method according to claim 2 based on EMD generalized phase arrangement entropy to close metal material, feature
Be: the step (2.3) is specially
(2.3.1) seeks the instantaneous phase sequence θ (i) of each IMF signal with reference to metal material using Hilbert transform method,
Sequence length is N;
(2.3.2) carries out phase space reconfiguration to the instantaneous phase sequence θ (i) that step (2.3.1) acquires, and obtains reproducing sequence Zj, weight
Structure sequence number is N- (m-1) * t;
Zj=[θ (j), θ (j+t) ..., θ (j+ (m-1) t)], 1≤j≤N- (m-1) t
Wherein m is phase space reconfiguration dimension, and t is the time delay of reconstruct;
(2.3.3) is by reproducing sequence ZjK is arranged as by numerical value ascending order1,k2,…km, obtain position sequence Sj, and determine position sequence
Identical sequence number, is denoted as Numv;
Sj=(k1,k2,…km), 1≤j≤N- (m-1) τ
(2.3.4) using step (2.3.3) various arrangements occur frequency as its probability, then obtain the probability of various arrangements
For
(2.3.5) utilizes two parameter entropy Sq,δDefine it is appropriate go out with reference to metal material echo-signal characteristic component entropy
gq,δ,
4. the discrimination method according to claim 1 based on EMD generalized phase arrangement entropy to close metal material, feature
Be: the pulse voltage of the pulse reception/transmitter is 100~300V, pulse recurrence frequency is 100~300Hz;Oscillograph
Sampling rate is 100MHz~5GHz, and sampling number is 1000~5000 times;The centre frequency of transmitting-receiving probe is 1~10MHz.
5. the discrimination method according to claim 1 based on EMD generalized phase arrangement entropy to close metal material, feature
Be: the couplant is water or glycerol.
6. described in any item according to claim 1~5 arrange entropy to the identification side of close metal material based on EMD generalized phase
Method, it is characterised in that: the reference metal material is pure metal or alloy, intermetallic compound and special metal material.
7. the discrimination method according to claim 6 based on EMD generalized phase arrangement entropy to close metal material, feature
Be: the pure metal material be beryllium, magnesium, aluminium, indium, germanium, tin, lead, antimony, titanium, vanadium, chromium, manganese, iron, cobalt, nickel, zinc, yttrium, zirconium,
Niobium, molybdenum, ruthenium, rhodium, palladium, silver, cadmium, hafnium, tantalum, tungsten, iridium, platinum or gold.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910731126.9A CN110308206B (en) | 2019-08-08 | 2019-08-08 | Method for identifying similar metal materials based on EMD generalized phase permutation entropy |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910731126.9A CN110308206B (en) | 2019-08-08 | 2019-08-08 | Method for identifying similar metal materials based on EMD generalized phase permutation entropy |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110308206A true CN110308206A (en) | 2019-10-08 |
CN110308206B CN110308206B (en) | 2021-10-08 |
Family
ID=68083209
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910731126.9A Active CN110308206B (en) | 2019-08-08 | 2019-08-08 | Method for identifying similar metal materials based on EMD generalized phase permutation entropy |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110308206B (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103246241A (en) * | 2012-02-06 | 2013-08-14 | C.R.F.阿西安尼顾问公司 | Method for monitoring the quality of industrial processes and system therefrom |
CN105447514A (en) * | 2015-11-18 | 2016-03-30 | 北京航空航天大学 | Metal identification method based on information entropy |
CN109472284A (en) * | 2018-09-18 | 2019-03-15 | 浙江大学 | A kind of battery core defect classification method based on zero sample learning of unbiased insertion |
CN110044533A (en) * | 2019-04-11 | 2019-07-23 | 大连理工大学 | A kind of tools for bolts ' pretension force monitoring methods combined based on EMD Energy-Entropy with support vector machines |
-
2019
- 2019-08-08 CN CN201910731126.9A patent/CN110308206B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103246241A (en) * | 2012-02-06 | 2013-08-14 | C.R.F.阿西安尼顾问公司 | Method for monitoring the quality of industrial processes and system therefrom |
CN105447514A (en) * | 2015-11-18 | 2016-03-30 | 北京航空航天大学 | Metal identification method based on information entropy |
CN109472284A (en) * | 2018-09-18 | 2019-03-15 | 浙江大学 | A kind of battery core defect classification method based on zero sample learning of unbiased insertion |
CN110044533A (en) * | 2019-04-11 | 2019-07-23 | 大连理工大学 | A kind of tools for bolts ' pretension force monitoring methods combined based on EMD Energy-Entropy with support vector machines |
Non-Patent Citations (1)
Title |
---|
杜必强等: "基于EMD 和小波熵阈值算法的超声回波信号降噪", 《中国测试》 * |
Also Published As
Publication number | Publication date |
---|---|
CN110308206B (en) | 2021-10-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102636303B (en) | Method for measuring residual stress of thin plating layer based on surface ultrasonic waves | |
Liu et al. | Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network | |
CN103822970B (en) | A kind of portable resistor spot welding Automatic ultrasonic testing instrument and detection method | |
CN1743839A (en) | Structure defect ultrasonic on-line intelligent identifying system and identifying method | |
CN110044533B (en) | Bolt pretightening force monitoring method based on combination of EMD (empirical mode decomposition) energy entropy and support vector machine | |
CN110161119B (en) | Wind power blade defect identification method | |
US3481186A (en) | Methods of and systems for effecting the nondestructive analysis of materials | |
CN101071117A (en) | Electrochemical electronic tongue based on wide-bard pulse voltammetry | |
CN103901102A (en) | Method for identifying typical flaws of forged piece based on ultrasonic phased array technology | |
CN107121501A (en) | A kind of turbine rotor defect classification method | |
CN112668382A (en) | Support vector machine-based ultrasonic signal identification method for defects in steel ingot | |
CN106596729B (en) | 2.25Cr-1Mo the monitoring of steel crack Propagation and hydrogen embrittlement evaluation method | |
CN101109732B (en) | Ultrasound nondestructive detecting echo signal classificating method based on vague plane characteristic | |
Xu et al. | Rail defect detection method based on recurrent neural network | |
CN201508350U (en) | Ultrasonic automatic defect detection device for petroleum pipes | |
CN106124623A (en) | Sheet metal micro-crack identification and alignment system and detection method based on this system | |
CN110308205A (en) | Sorting metals method based on EMD generalized phase arrangement plan method | |
CN114778690A (en) | Laser ultrasonic quantitative detection method for pore defects of additive part | |
CN2809640Y (en) | Ultrasonic online intelligent recognition system for structural defect | |
CN104330475A (en) | Metal anti-fake identification method based on ultrasonic backscattering attenuation coefficient spectrum | |
CN110308206A (en) | Based on EMD generalized phase arrangement entropy to the discrimination method of close metal material | |
CN113624834A (en) | Defect depth identification method and system based on marginal spectrum centroid detection | |
CN108195934B (en) | Ultrasonic guided wave detection frequency optimization method based on time-frequency analysis | |
US20130322744A1 (en) | Method of Detecting and Identifying Substances or Mixtures and Determining Their Characteristics | |
CN112240910B (en) | Magnetostrictive guided wave topological signal processing method and nondestructive testing method |
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 |