CN107239739A - A kind of scale parameter controls adjustable signal envelope extracting method - Google Patents

A kind of scale parameter controls adjustable signal envelope extracting method Download PDF

Info

Publication number
CN107239739A
CN107239739A CN201710310903.3A CN201710310903A CN107239739A CN 107239739 A CN107239739 A CN 107239739A CN 201710310903 A CN201710310903 A CN 201710310903A CN 107239739 A CN107239739 A CN 107239739A
Authority
CN
China
Prior art keywords
point
point sequence
envelope
characteristic
sequence
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
Application number
CN201710310903.3A
Other languages
Chinese (zh)
Other versions
CN107239739B (en
Inventor
江志农
茆志伟
张进杰
范正天
张晓帆
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.)
Beijing University of Chemical Technology
Original Assignee
Beijing University of Chemical 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 Beijing University of Chemical Technology filed Critical Beijing University of Chemical Technology
Priority to CN201710310903.3A priority Critical patent/CN107239739B/en
Publication of CN107239739A publication Critical patent/CN107239739A/en
Application granted granted Critical
Publication of CN107239739B publication Critical patent/CN107239739B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02Preprocessing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08Feature extraction
    • G06F2218/10Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Complex Calculations (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)

Abstract

The present invention provides a kind of scale parameter and controls adjustable signal envelope extracting method.The major advantage of this method is to possess only reaches the ability of continuous control envelope slickness by adjusting single scale parameter, overcomes the shortcoming of existing traditional envelope extracting method.This method extracts the extreme point of original signal as characteristic point sequence first;Then the partial dot that condition is met in characteristic sequence is rejected in circulation, and the length of the new feature point sequence formed at the end of double circulation is not more than given number, or the points of the characteristic point sequence newly formed are not more than three;Appropriate interpolation method is finally utilized, the characteristic point sequence retained is connected, obtains envelope.Can be by adjusting the kick-out condition of single scale parameter controlling feature point, and then control the slickness of envelope curve.Only it is the good characteristic of controllable envelope slickness by single scale parameter, disclosure satisfy that the various demands to envelope performance in actual signal processing.

Description

A kind of scale parameter controls adjustable signal envelope extracting method
Technical field
Adjustable signal bag is controlled the present invention relates to a kind of signal envelope extracting method, more particularly to a kind of scale parameter Winding thread extracting method.
Background technology
The envelope of signal is the outline of signal, and envelope provision of on-line analysis methodology is to be commonly used during Engineering Signal is handled and effective A kind of signal analysis method, especially reciprocating mechanical vibration signal analysis and mechanical fault diagnosis analysis in have very Important effect.Many engineering actual signal (especially reciprocating mechanical vibration signal) waveforms are extremely complex, mostly comprising many The non-stationary signal of individual local assault, the directly difficulty to signal analysis and processing are larger, but its envelope has certain rule Or certain trend, many useful information can be obtained to the further analysis of envelope.For example, engine cylinder head system vibration signal Belong to typical non-stationary signal paracycle, wherein containing multiple local assaults, time-domain analysis, frequency domain directly are carried out to signal The complexity of analysis even time frequency analysis etc. is larger, and is difficult to obtain effective law characteristic directly perceived, but vibration signal complete cycle Envelope there is clear and intuitive wave character, and the vibration signal envelope in each cycle has significant similitude, is easy to The appearance and the change of shock characteristic impacted to abnormal vibrations are detected, in addition by that can have to the further analysis of envelope Effect obtains phase and the energy of impact that each impact occurs.
It is the key point for carrying out Envelope Analysis to depict suitable envelope, is also to ensure before Envelope Analysis validity Put forward condition.Its difficult point is how to realize that automatic depict meets the envelope that Engineering Signal handles needs by algorithm, and energy Enough lead in too small amount of state modulator envelope characteristic, such as this method and only pass through the smoothness of a state modulator envelope Characteristic.
The method to signal envelope line drawing mainly includes two major classes at present:One class is the direct feature for extracting primary signal Point, then characteristic point is connected by composition envelope by interpolation method, the utilization single order extreme point that such as EMD is used in decomposing is asked The method for taking signal envelope, that is, ask for signal after extracting very big (small) the value point in signal by the method for cubic spline interpolation Upper (lower) envelope, also envelope second order extreme value or multistage extreme value, as characteristic point, and pass through other all kinds of interpolation methods in addition The method for carrying out line.Two classes are the bags that the low frequency signal in signal is isolated as to primary signal by the method for demodulation Winding thread, such as Hilbert are converted and wavelet transformation carries out the method that lower-frequency envelope line is asked in envelope demodulation.In above-mentioned two classes method, The first kind is relatively simple, and directly amount of calculation is small, and the adaptability to various types of signal is also very strong, but envelope slickness often occurs not Good (such as there are problems that " break ") or close fitting bad (such as " overshoot " distortion) notable defect, it is often more important that occurring After above mentioned problem, existing conventional method is difficult to only reach company by controlling a certain parameter in the case where not changing envelope algorithm The purpose of continuous adjustment envelope performance.And in Equations of The Second Kind method, the bag of the mechanical shock signal extracted is directly converted with Hilbert Network is often not smooth enough, and the burr existed is a lot, contains substantial amounts of high fdrequency component;Although and wavelet transformation asks the method for envelope can To obtain the envelope of different smooth degrees by adjusting scale parameter, but the basic function with exact expression formula causes its adaptive Should be able to power it is poor so that the disposal ability to any non-stationary, nonlinear properties is limited;In addition, the calculating of Equations of The Second Kind method compared with For complexity, amount of calculation is larger, big and require repeatedly to calculate in real time or the occasion of cycle calculations envelope is difficult in some data volumes Effectively applied.
The present invention fully analyzes the advantage and disadvantage that existing conventional method asks for envelope, proposes that a kind of scale parameter control can The signal envelope extracting method of tune, this method has taken into account the advantage of above-mentioned two classes method simultaneously, and it substantially belongs to above-mentioned the One class method, but be provided simultaneously with that the ability of continuous control envelope slickness can be reached by adjusting scale parameter.
The content of the invention
It is an object of the invention to the shortcoming and defect existed for existing traditional signal envelope extracting method there is provided A kind of simple and effective scale parameter controls adjustable signal envelope extracting method.This method not only calculate simply, adapt to Property it is strong, and possess only adjust single scale parameter can continuous control envelope slickness ability.
The purpose of the present invention is achieved through the following technical solutions (exemplified by above envelope, lower envelope line is similarly):The present invention The maximum point (single order maximum point or multistage maximum point) extracted first in original signal constitutes one group of characteristic point;Then ask for The minimum of this group of characteristic point, and some at each minimum point or multiple characteristic values are calculated, if this feature value meets pre- If condition then rejects it from this group of characteristic point, new characteristic point sequence is obtained;Upper one is repeated to new characteristic point sequence again Partial Feature point is rejected in step, circulation, until it is double circulate obtained feature point number it is only poor be not more than 1 (or it is other just Integer);Finally the characteristic point sequence finally given is connected by the method for interpolation, the coenvelope line of signal is obtained.Its In, the kick-out condition of characteristic point by scale parameter control so that reach adjustment single parameter can continuous control envelope it is smooth The purpose of property.
1st, a kind of scale parameter controls adjustable signal envelope extracting method, it is characterised in that comprise the following steps:
(1) maximum point in original signal is extracted, one group of characteristic point sequence is constituted;
(2) all minimum points in features described above point sequence are extracted, the characteristic value at above-mentioned each minimum point is calculated;And The minimum point that features described above value is met into specified criteria is rejected from features described above point sequence, forms new features described above point sequence Row;
(3) find minimum point again in above-mentioned new characteristic point sequence, reject features described above value satisfaction and impose a condition Minimum point;The partial dot in features described above point sequence is rejected in circulation, until meeting loop termination condition, obtains final spy Levy point sequence;
(4) the above-mentioned new feature point sequence finally given is entered into row interpolation in primary signal, by features described above point sequence Coenvelope line is obtained with interpolation point line.
Or
(1) minimum point in original signal is extracted, one group of characteristic point sequence is constituted;
(2) all maximum points in features described above point sequence are extracted, the characteristic value at above-mentioned each maximum point is calculated;And The maximum point that features described above value is met into specified criteria is rejected from features described above point sequence, forms new features described above point sequence Row;
(3) find maximum point again in above-mentioned new characteristic point sequence, reject features described above value satisfaction and impose a condition Maximum point;The partial dot in features described above point sequence is rejected in circulation, until meeting loop termination condition, obtains final spy Levy point sequence;
(4) the above-mentioned new feature point sequence finally given is entered into row interpolation in primary signal, by features described above point sequence Lower envelope line is obtained with interpolation point line.
Characteristic value char in step (2)(a)(k) calculation formula is:
char(a)(k)=C(a)(k)-D(a)(k)
Wherein, C(a)(k) represent in the case where abscissa stretches yardstick for a, pass through at three o'clock at 3 points and make the circle that circle is tried to achieve Heart ordinate, above three point is:Before and after above-mentioned steps (2) extreme point and the extreme value are in step (1) described characteristic point sequence Two adjacent points.D(a)(k) represent that above-mentioned steps (2) extreme point is in step (1) in the case where abscissa stretches yardstick for a Linear interpolation of 2 points of the line at above-mentioned extreme point before and after the characteristic point sequence.
And characteristic value char(a)(k) it is not more than 0.
Loop termination condition in step (3) is:The difference of the length of the new feature point sequence of double formation is not more than Given number N_stop.N_stop typically takes the positive integer between 1-10, including 1-10.
The present invention is further illustrated below, comprises the following steps that (still exemplified by above envelope, lower envelope line is same Reason):
The first step, extracts the maximum point (single order maximum point or multistage maximum point) in original signal s (i), constitutes one Group characteristic point sequence y1(j), and its position sequence x in original signal is recorded1(j);
Second step, calculates y1(j) minimum sequences y2(k), and it is recorded in x1(j) the position sequence x in2(k), then Its position sequence x in original signal s (i)1(x2(k) point (x), is calculated1(x2(k)),y2(k)) the characteristic value char at place(a)(k):
char(a)(k)=C(a)(k)-D(a)(k) (1)
Wherein C(a)(k) point (x is represented2(k),y2(k)) and its in (x1(j),y1(j)) adjacent thereto front and rear two in sequence Point, in the case where abscissa scaling is a, the center of circle ordinate that circle is tried to achieve is made by 3 points;D (a) (k) represents to sit horizontal Scaling is marked in the case of a, abscissa, point (x are used as using position sequence of the characteristic point in original signal s (i)2(k),y2(k)) In (x1(j),y1(j)) front and rear 2 lines adjacent thereto in sequence are in x1(x2(k)) the linear interpolation at place.
If char(a)(k)<0, then by the point (x2(k),y2(k)) from (x1(j),y1(j)) rejected in sequence.
It is to provide C herein(a)And D (k)(a)(k) expression formula and its changing rule with transverse axis coefficient of dilatation a, provide with Lower calculating process:
If three point coordinates are (x1, y1), (x2, y2), wherein (x3, y3), x1 respectively in plane<x2<X3, y1>y2,y2< Y3, the central coordinate of circle of this 3 points determinations is (xc,yc);Linear interpolation of 2 lines of (x1, y1), (x3, y3) at x2 is yI, Then:
Take:
X1=x1-x2, X3=x3-x2, Xc=xc-x2;Y1=y1-y2, Y3=y3-y2, Yc=yc-y2; (4)
Then:
X1<0, X3>0;Y1>0, Y3>0; (5)
Bring into (2), obtain by various in (4):
From (5):
Yc>0
(8)
If making x '=ax (a>0) new center of circle ordinate Y, is then obtainedc' and interpolation point ordinate YI′:
YI'=YI
(10)
Obtained by (5):
Therefore:During a=1, Yc'=Yc>0;
a>When 1, Yc′>Yc>0;
0<a<When 1,0<Yc′<Yc
Calculate and understand more than:On the one hand, can be by adjusting scale parameter a (a>0) method adjusts 3 points of works Round home position, and when scale parameter a is more than 1, with a increase, home position is improved;When scale parameter a is less than 1 When, with scale parameter a reduction, home position declines.On the other hand, the ordinate of interpolation point will not be with scale parameter a Change and change, therefore interpolation point can be used as motionless reference point.
For ease of subsequent analysis, need to prove herein:No matter a (a>0) what value is taken, there is Yc' it is consistently greater than YI
The Y in formula (9)c' expression formula it is recognized that while a=0 situation can cause during the derivation of equation derive During the denominators of some formulas be zero, but final result can about fall a from denominator, but due to being set in topic in the case of, Yc' be a increasing function, so can be in Yc' in directly make a=0 obtain level off to zero when Yc' minimum value.
Bring a=0 into formula (9), and by Yc' and YISubtracting each other to obtain:
From formula (5):Denominator on the right of formula (11) equal sign is consistently less than zero, to prove there is Yc'>YIIt is permanent into It is vertical, then it need to only prove there is (X1,Y1) and (X2, Y2) so that (X1Y3 2+X3Y1 2)(X3+X1)-4X1X3Y1Y3<0.
It can be set according to (5):X1=-α X3;Y1=β Y3, wherein α>0, β>0, due in random signal, X1, Y1, X2, Y2It is Four independent variables, then α, β can take any arithmetic number.Then on the right of formula (11) equal sign molecular moiety can abbreviation be:
Then it is readily seen in α between β2Between 1, and β sufficiently small (tending to 0) is (for example:β=0.1, α=0.5) or β Sufficiently large (tending to be just infinite) (such as during β=10, α=5), formula (12) can be less than 0.In summary, exist (x1, y1), (x2,y2)、(x3,y3)(x1<x2<X3, y1>y2,y2<Y3) such that no matter how zoom factor a changes, yc>yIPerseverance is set up.
Based on above calculating process, and for ease of calculating, order:
X1(x2(k) -1)=x1(x2(k)-1)-x1(x2(k))
X1(x2(k)+1)=x1(x2(k)+1)-x1(x2(k))
Y1(x2(k) -1)=y1(x2(k)-1)-y1(x2(k))
Y1(x2(k)+1)=y1(x2(k)+1)-y1(x2(k))
C can be obtainedaAnd D (k)a(k) expression formula:
3rd step, by sequences y1(j) met in after the characteristic point rejecting of formula (1) condition, form one group of new sequence, lay equal stress on Multiple second step, the point for the condition that meets is rejected in circulation, until the points of double rejecting are not more than N_stop.
4th step, the point still remained after above-mentioned second step and third step is connected with the method for interpolation, It is used as the coenvelope line of signal.
In the present invention, Ca(k) it is scale parameter a (a>0) function, Da(k) it is unrelated with a.Can be by adjusting scale parameter Whether some characteristic points are removed in control signal, when a increases, then Ca(k) increase, the characteristic point quantity kicked out of is reduced, Obtained curve is more unsmooth (i.e. closer to extreme point envelope);When a reduces, then Ca(k) reduce, the characteristic point kicked out of Quantity increase, obtained curve is smoother, and there is the characteristic point that can not be rejected forever, i.e., obtained by changing scale parameter a To family's envelope in exist " most smooth " envelope limiting case.Meanwhile, same parameters a ensure that in whole Chief Signal Boatswain In the range of degree, signal carries out envelope extraction under same yardstick.
Brief description of the drawings
Fig. 1 gasoline engine vibration original waveforms
Fig. 2 a mesoscale parameters of the present invention are 10 envelope
Fig. 2 b mesoscale parameters of the present invention are 10 envelope line thinning waveform
Fig. 3 a mesoscale parameters of the present invention are 1 envelope
Fig. 3 b mesoscale parameters of the present invention are 1 envelope line thinning waveform
Fig. 4 a mesoscale parameters of the present invention are 0.1 envelope
Fig. 4 b mesoscale parameters of the present invention are 0.1 envelope line thinning waveform
Envelope and its refinement waveform that Fig. 5 a mesoscale parameters of the present invention are 0
Fig. 5 b mesoscale parameters of the present invention are 0 envelope line thinning waveform
Fig. 6 a single order extreme value envelopes
Fig. 6 b single order extreme value envelope line thinning waveforms
The required envelope of Fig. 7 a Hilbert conversion
The refinement waveform of the required envelope of Fig. 7 b Hilbert conversion
Embodiment
In order to be best understood from technical scheme, below in conjunction with accompanying drawing to the present invention embodiment make into The detailed description of one step.
The first step, engine cylinder head system vibration signal s complete cycle (i), as shown in figure 1, s (i) very big (small) value point is extracted, Constitute one group of characteristic point sequence y1(j), and its position sequence x in original signal s (i) is recorded1(j);
Second step, calculates y1(j) minimum (big) value sequence y2(k), and it is recorded in x1(j) the position sequence x in2 (k), then its position sequence x in original signal s (i)1(x2(k) point (x), is calculated1(x2(k)),y2(k)) the characteristic value at place char(a)(k),
char(a)(k)=C(a)(k)-D(a)(k)
Wherein:
X1(x2(k) -1)=x1(x2(k)-1)-x1(x2(k))
X1(x2(k)+1)=x1(x2(k)+1)-x1(x2(k))
Y1(x2(k) -1)=y1(x2(k)-1)-y1(x2(k))
Y1(x2(k)+1)=y1(x2(k)+1)-y1(x2(k))
If meeting char(a)(k)<0 condition, then by the point (x2(k),y2(k)) from (x1(j),y1(j)) rejected in sequence, Form new features described above point sequence;
Found again in 3rd step, the new characteristic point sequence that above-mentioned second step is obtained in minimum (big) value point, rejecting State characteristic value and meet minimum (big) the value point imposed a condition, form new characteristic point sequence again, circulation rejecting meets char(a) (k)<The point of 0 condition, until the difference of the length of the new feature point sequence of double formation is not more than given number N_stop.
4th step, the point that will be still remained after above-mentioned (2) step and (3) step is connected with the method for interpolation Come, be used as the upper (lower) envelope of signal.
Scale parameter is set to a=10, a=1, a=0.1, a=0 respectively, the waveform of four kinds of envelopes is obtained, such as schemed Shown in 2- Fig. 5;In addition, Fig. 6 is to seek the envelope that the method for envelope is tried to achieve using single order extreme value, Fig. 7 is that bag is sought in Hilbert conversion The envelope that the method for network is tried to achieve, it is easy to see that:The envelope line drawing side of the present invention compared with traditional method for seeking envelope Method is succinctly flexible, can according to purpose and the flatness requirement for asking for envelope, only by amendment once scale parameter can be with Control the flatness of envelope.

Claims (1)

1. a kind of scale parameter controls adjustable signal envelope extracting method, it is characterised in that comprise the following steps:
(1) maximum point in original signal is extracted, one group of characteristic point sequence is constituted;
(2) all minimum points in features described above point sequence are extracted, the characteristic value at above-mentioned each minimum point is calculated;And will be upper State characteristic value and meet the minimum point of specified criteria and rejected from features described above point sequence, form new features described above point sequence;
(3) find minimum point again in above-mentioned new characteristic point sequence, reject features described above value and meet the pole imposed a condition Small value point;The partial dot in features described above point sequence is rejected in circulation, until meeting loop termination condition, obtains final characteristic point Sequence;
(4) the above-mentioned new feature point sequence finally given is entered into row interpolation in primary signal, by features described above point sequence and insert Value point line obtains coenvelope line;
Or
(1) minimum point in original signal is extracted, one group of characteristic point sequence is constituted;
(2) all maximum points in features described above point sequence are extracted, the characteristic value at above-mentioned each maximum point is calculated;And will be upper State characteristic value and meet the maximum point of specified criteria and rejected from features described above point sequence, form new features described above point sequence;
(3) find maximum point again in above-mentioned new characteristic point sequence, reject features described above value and meet the pole imposed a condition Big value point;The partial dot in features described above point sequence is rejected in circulation, until meeting loop termination condition, obtains final characteristic point Sequence;
(4) the above-mentioned new feature point sequence finally given is entered into row interpolation in primary signal, by features described above point sequence and insert Value point line obtains lower envelope line;
Characteristic value char in step (2)(a)(k) calculation formula is:
char(a)(k)=C(a)(k)-D(a)(k)
Wherein, C(a)(k) represent in the case where abscissa stretches yardstick for a, make the round center of circle tried to achieve by 3 points at three o'clock and indulge Coordinate, above three point is:Above-mentioned steps (2) extreme point and the extreme value are front and rear adjacent in step (1) described characteristic point sequence Two points;D(a)(k) represent that above-mentioned steps (2) extreme point is described in step (1) in the case where abscissa stretches yardstick for a Linear interpolation of 2 points of the line at above-mentioned extreme point before and after characteristic point sequence;
And characteristic value char(a)(k) it is not more than 0;
Loop termination condition in step (3) is:The difference of the length of the new feature point sequence of double formation is not more than given Number N_stop, or the points of characteristic point sequence are less than or equal to three.
CN201710310903.3A 2017-05-05 2017-05-05 Signal envelope extraction method with adjustable scale parameter control Active CN107239739B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710310903.3A CN107239739B (en) 2017-05-05 2017-05-05 Signal envelope extraction method with adjustable scale parameter control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710310903.3A CN107239739B (en) 2017-05-05 2017-05-05 Signal envelope extraction method with adjustable scale parameter control

Publications (2)

Publication Number Publication Date
CN107239739A true CN107239739A (en) 2017-10-10
CN107239739B CN107239739B (en) 2020-10-27

Family

ID=59984723

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710310903.3A Active CN107239739B (en) 2017-05-05 2017-05-05 Signal envelope extraction method with adjustable scale parameter control

Country Status (1)

Country Link
CN (1) CN107239739B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3633331A1 (en) * 2018-10-01 2020-04-08 Bently Nevada, LLC Monitoring machine vibration
CN113031524A (en) * 2021-02-07 2021-06-25 南京航空航天大学 Cubic spline-based press fitting force envelope generation method
CN113191317A (en) * 2021-05-21 2021-07-30 江西理工大学 Signal envelope extraction method and device based on pole construction low-pass filter
CN114433656A (en) * 2020-10-30 2022-05-06 深圳富桂精密工业有限公司 Punching abnormity detection system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6631325B1 (en) * 1996-08-12 2003-10-07 The United States As Represented By The Administrator Of The National Aeronautics And Space Administration Computer implemented empirical mode decomposition method apparatus, and article of manufacture utilizing curvature extrema
CN101972148A (en) * 2010-11-19 2011-02-16 哈尔滨工业大学 Disturbance elimination method of near infrared brain function detection based on empirical mode decomposition
CN102930172A (en) * 2012-11-15 2013-02-13 江苏科技大学 Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD
CN103116111A (en) * 2013-01-21 2013-05-22 上海市电力公司 Method for diagnosing power transformer winding working condition
CN103729688A (en) * 2013-12-18 2014-04-16 北京交通大学 Section traffic neural network prediction method based on EMD
CN106052854A (en) * 2016-06-13 2016-10-26 浙江理工大学 Grinding machine grinding chatter fault on-line diagnosis method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6631325B1 (en) * 1996-08-12 2003-10-07 The United States As Represented By The Administrator Of The National Aeronautics And Space Administration Computer implemented empirical mode decomposition method apparatus, and article of manufacture utilizing curvature extrema
CN101972148A (en) * 2010-11-19 2011-02-16 哈尔滨工业大学 Disturbance elimination method of near infrared brain function detection based on empirical mode decomposition
CN102930172A (en) * 2012-11-15 2013-02-13 江苏科技大学 Extraction method of multi-scale characteristic and fluctuation parameter of sea wave based on EMD
CN103116111A (en) * 2013-01-21 2013-05-22 上海市电力公司 Method for diagnosing power transformer winding working condition
CN103729688A (en) * 2013-12-18 2014-04-16 北京交通大学 Section traffic neural network prediction method based on EMD
CN106052854A (en) * 2016-06-13 2016-10-26 浙江理工大学 Grinding machine grinding chatter fault on-line diagnosis method

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
H.LEBLOND ET AL.: "Models of few optical cycle solitons beyond the slowly varying envelope approximation", 《PHYSICS REPORTS》 *
卢青 等: "EMD 包络线拟合算法改进及在泡沫尺寸趋势提取中的应用", 《江南大学学报(自然科学版)》 *
徐春林 等: "基于Hilbert变换的包络分析及其在机械故障诊断中的应用", 《机电工程技术》 *
陆启宇 等: "基于自适应EEMD 算法的变压器绕组状态检测仿真", 《计算机仿真》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3633331A1 (en) * 2018-10-01 2020-04-08 Bently Nevada, LLC Monitoring machine vibration
CN114433656A (en) * 2020-10-30 2022-05-06 深圳富桂精密工业有限公司 Punching abnormity detection system
CN114433656B (en) * 2020-10-30 2024-04-23 深圳富桂精密工业有限公司 Stamping abnormality detection system
CN113031524A (en) * 2021-02-07 2021-06-25 南京航空航天大学 Cubic spline-based press fitting force envelope generation method
CN113191317A (en) * 2021-05-21 2021-07-30 江西理工大学 Signal envelope extraction method and device based on pole construction low-pass filter
CN113191317B (en) * 2021-05-21 2022-09-27 江西理工大学 Signal envelope extraction method and device based on pole construction low-pass filter

Also Published As

Publication number Publication date
CN107239739B (en) 2020-10-27

Similar Documents

Publication Publication Date Title
CN107239739A (en) A kind of scale parameter controls adjustable signal envelope extracting method
CN108615252A (en) The training method and device of color model on line original text based on reference picture
CN104459398B (en) A kind of quality of power supply of use Two-dimensional morphology noise reduction is combined disturbance identification method
CN107786480A (en) Radar-communication integration signal creating method and device
CN106169181A (en) A kind of image processing method and system
CN105022754A (en) Social network based object classification method and apparatus
CN105427262A (en) Image de-noising method based on bidirectional enhanced diffusion filtering
CN102214357A (en) Image enhancement method and system
CN110276256A (en) Based on the low signal-to-noise ratio Modulation Recognition of Communication Signal method and device for adjusting ginseng accidental resonance
CN111161726A (en) Intelligent voice interaction method, equipment, medium and system
CN108009122A (en) A kind of improved HHT methods
CN107561420A (en) A kind of cable local discharge signal characteristic vector extracting method based on empirical mode decomposition
CN113222120B (en) Neural network back door injection method based on discrete Fourier transform
CN110188448A (en) A kind of improved Empirical Mode Decomposition Algorithm
CN113569773A (en) Interference signal identification method based on knowledge graph and Softmax regression
CN103915102B (en) Method for noise abatement of LFM underwater sound multi-path signals
CN107728213A (en) A kind of new threshold function table seismic data denoising method of small echo
Panda Image contrast enhancement in spatial domain using fuzzy logic based interpolation method
CN113255784B (en) Neural network back door injection system based on discrete Fourier transform
CN105811921B (en) A kind of method and wave filter for suppressing industrial frequency harmonic interference
CN111931566B (en) Human face cartoon image design method based on image processing
CN100464500C (en) Geometrical characteristic filtering method for time-frequency aliasing signal
CN107358967A (en) A kind of the elderly&#39;s speech-emotion recognition method based on WFST
CN114972783A (en) Countermeasure sample generation method for enhancing gradient low-frequency information and application thereof
CN113987924A (en) Complex electromagnetic signal simulation generation method based on target feature self-learning

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