CN102608545A - Non-contact switch power failure diagnosis system - Google Patents
Non-contact switch power failure diagnosis system Download PDFInfo
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Abstract
The invention discloses a non-contact switch power failure diagnosis system, which mainly solves the problems that the existing diagnosis system is complicated, requires contact with the measured circuit board leading to low efficiency and can not perform diagnosis on a circuit board after insulating treatment. The system consists of a non-contact magnetic probe (202), an amplifying conditioning device (203), a data acquisition unit (204) and a data processing unit (205), wherein the non-contact magnetic probe (202) is coupled with a magnetic leakage signal of a switch power magnetic element (201); the magnetic leakage signal is input into the amplifying conditioning device (203) for amplifying conditioning and then subjected to digital sampling by the data acquisition unit (204); and the sampled signal is processed by the data processing unit (205) to diagnose the failure type of the measured switch power. The system disclosed by the invention can realize measurement of a circuit board without requiring contact with the measured circuit board, is simple to operate, is safe and reliable, does not influence the work of the measured circuit, and can be applied to the system test and failure diagnosis of the switch power.
Description
Technical field
The invention belongs to electronic instrument technology field, relate to a kind of system of fault diagnosis, can be used for Switching Power Supply is carried out fault diagnosis through the noncontact mode.
Background technology
The Switching Power Supply product is widely used in fields such as industrial automation control, military industry equipment, research equipment, LED illumination, industrial control equipment; And Switching Power Supply generally is the part occurred frequently of fault, and it is significant that Switching Power Supply is carried out fault diagnosis quickly and easily.
The fault diagnosis of Switching Power Supply has manual method and automatic diagnosis method at present.
Manual method is to utilize the directly voltage signal of measuring switch power supply interdependent node such as multimeter or oscillograph, through the analysis node voltage waveform, judges what malfunction is Switching Power Supply be in.This method complex operation, efficient is low; And contain high-pressure section in the Switching Power Supply, if the misoperation meeting produces injury to equipment under test and tester.
Automatic diagnosis method mainly is to utilize the test needle-bar, and equipment such as program control flying needle contact through respective nodes in test probe and the circuit and to obtain the node voltage signal, these information are analyzed again, and then are judged the malfunction of Switching Power Supply.According to conventional test methods;, the designer all need make special-purpose needle-bar when will testing certain unit or parts; Owing to needing accurately location between plank and the needle-bar, need various test fixtures and coupling arrangement, cause diagnostic system complicacy, complex operation.This method has reduced the reliability of diagnosis owing to problems such as test probe wear and tear, loose contact.
Because above-mentioned manual method and automatic diagnosis method all needs direct contact-making switch power supply circuit board, if Switching Power Supply has been done insulation protection processing such as embedding, its test node and the external world isolate fully, then can't contact measurement in addition.Especially to the circuit of some special applications, the contact diagnostic method can bring larger interference to primary circuit, even fault diagnosis can't be carried out, and these have all restricted the application of said method.
Summary of the invention
The objective of the invention is to deficiency, proposed a kind of non-contact switch power fail diagnostic system,, improve the range of application of fault diagnosis and the reliability of fault diagnosis to simplify procedures based on leakage field to above-mentioned prior art.
For realizing above-mentioned purpose, Switching Power Supply fault diagnosis system of the present invention comprises:
Contactless magnetic probe is used to respond to the changes of magnetic field of tested Switching Power Supply magnetic element, and coupling leakage field radiation signal inputs to the amplification conditioning device with the magnetic leakage signal of coupling;
Amplify conditioning device, be used for the coupled signal from the non-contact magnetically probe is amplified conditioning, be added in the voltage signal on the magnetic element with recovery, and the voltage signal that recovers is input in the data acquisition unit;
Data acquisition unit carries out digital sample to the voltage signal that amplifies after nursing one's health, and again the digital signal behind the sample quantization is input to data processing unit;
Data processing unit; Digital signal to from data acquisition unit is carried out filtering, is removed direct current, normalization and eigenwert are extracted; According to the list of feature values of setting up before eigenwert of extracting and the diagnosis, diagnose out Switching Power Supply whether fault and fault type, and show;
It is characterized in that:
Contactless magnetic probe comprises high frequency magnetic core, detecting coil and screen layer, and this detecting coil is wrapped on the high frequency magnetic core;
Amplify conditioning device; Comprise transreactance amplifier and differentiator composition; Transreactance amplifier will amplify from the coupled signal of non-contact magnetically probe, recovers the current signal that flows through on the magnetic element, and the current signal that recovers is input in the differentiator; To recover the voltage signal that is added in magnetic element, again the voltage signal that recovers is input in the data acquisition unit;
Data processing unit comprises:
Data preprocessing module: be used for the data after the sampling being carried out filtering, go direct current and normalization to handle, to eliminate neighbourhood noise to the interference of magnetic leakage signal with reduce the uncertain influence that the test signal amplitude is caused of probe distance;
Characteristic extracting module: the magnetic leakage signal characteristic that is used to extract the Switching Power Supply plate;
List of feature values generation module: be used to set up the interval list of feature values of each characteristic distribution of magnetic leakage signal that comprises various experiment Switching Power Supply plates;
Fault diagnosis module: be used to search the list of feature values, confirm the fault type of tested Switching Power Supply plate;
Human-machine interface module: be used to show magnetic leakage signal waveform, eigenwert and failure mode, abort situation;
Described data preprocessing module outputs to the input end of characteristic extracting module;
Described characteristic extracting module outputs to the input end of list of feature values generation module or fault diagnosis module;
Described fault diagnosis module outputs to the input end of human-machine interface module.
Above-mentioned non-contact switch power fail diagnostic system, wherein the two ends of contactless magnetic probe link to each other with two input ends that amplify conditioning device respectively, amplify the output voltage of conditioning device and the voltage on the Switching Power Supply magnetic element and are directly proportional.
Above-mentioned non-contact switch power fail diagnostic system, wherein the non-contact magnetically probe places near the magnetic element of Switching Power Supply, makes magnetic leakage signal can pass the non-contact magnetically probe.
Above-mentioned non-contact switch power fail diagnostic system; Wherein the output terminal of contactless magnetic probe is connected to the input end of transreactance amplifier; The output terminal of transreactance amplifier links to each other with the reverse input end of differentiator through electric capacity, and the output terminal of differentiator is connected to the input end of data acquisition unit.
Above-mentioned non-contact switch power fail diagnostic system, wherein data preprocessing module comprises:
Filter preprocessing submodule: be used for the magnetic leakage signal of data collector collection is carried out wavelet filtering, eliminate the interference that noise signal is measured magnetic leakage signal;
Remove direct current pre-service submodule: the flip-flop that is used for removing magnetic leakage signal after the filtering;
Normalization pre-service submodule: be used for handling, reduce the uncertain influence that the magnetic leakage signal amplitude is caused of probe distance with going magnetic leakage signal behind the direct current to carry out normalization;
Described filter preprocessing submodule outputs to the input end of direct current pre-service submodule;
The described input end that goes direct current pre-service submodule to output to normalization pre-service submodule.
Above-mentioned non-contact switch power fail diagnostic system, wherein characteristic extracting module comprises:
Peak-to-peak value feature extraction submodule: the peak-to-peak value that is used to extract Switching Power Supply plate magnetic leakage signal after the filtering;
Spectrum entropy feature extraction submodule: be used to utilize spectrum entropy principle to extract the spectrum entropy of the magnetic leakage signal after normalization is handled;
Time domain entropy feature extraction submodule: be used to utilize the information entropy principle to extract the time domain entropy of the magnetic leakage signal after normalization is handled;
Characteristics of mean is extracted submodule: the average that is used to extract the magnetic leakage signal after normalization is handled;
Root mean square feature extraction submodule: the root mean square that is used to extract the magnetic leakage signal after normalization is handled;
Variance feature extraction submodule: the variance that is used to extract the magnetic leakage signal after normalization is handled.
Above-mentioned non-contact switch power fail diagnostic system, wherein list of feature values generation module comprises:
Average and the maximum deviation submodule: the average and the maximum deviation that are used to ask each each characteristic of experimental power supply plate of repeatedly measuring the back acquisition;
Ask the interval submodule of eigenvalue distribution: be used for by average of trying to achieve and maximum deviation; Calculate the distributed area of each each characteristic of experimental power supply plate; The wherein interval upper bound is that average adds maximum deviation; Interval lower bound is that average deducts maximum deviation, and the distributed area of each each characteristic of experimental power supply plate is write in the table;
Described average and the maximum deviation submodule outputs to the input end of asking the interval submodule of eigenvalue distribution.
The present invention compared with prior art has following advantage:
1) the present invention is owing to utilize the non-contact magnetically probe to obtain the magnetic leakage signal of tested Switching Power Supply magnetic element through the noncontact mode; Again the magnetic leakage signal of obtaining is amplified conditioning through amplifying conditioning device, guaranteed whole test process, have no between testing apparatus and the circuit-under-test plate to contact; Only need the non-contact magnetically probe can be carried out fault diagnosis near the magnetic element of circuit-under-test plate; Saved various test fixtures and coupling arrangement, noiseless to circuit-under-test, still can measure and fault diagnosis the circuit that insulation protections such as embedding are handled; Therefore this diagnostic system has simple in structure; Easy and safe to operate, there are not wearing and tearing, the advantage of applied range;
2) the present invention is owing to utilize data processing unit that the magnetic leakage signal of obtaining is handled; Eliminated the uncertain influence that brings of measurand and test macro distance; Make to have between measurand and test macro and do not need the accurately advantage of location; Further simplify the flow process of test, improved the reliability of test and the range of application of test macro.
Below in conjunction with accompanying drawing the present invention is further described:
Description of drawings
Fig. 1 is the structural representation of fault diagnosis system of the present invention;
Fig. 2 is the non-contact magnetically sonde configuration synoptic diagram in the fault diagnosis system of the present invention;
Fig. 3 is the amplification conditioning device structural representation in the fault diagnosis system of the present invention;
Fig. 4 is the characteristic extracting module block diagram in the fault diagnosis system of the present invention;
Fig. 5 is the data preprocessing module block diagram in the fault diagnosis system of the present invention;
Fig. 6 is the list of feature values generation module block diagram in the fault diagnosis system of the present invention.
Embodiment
With reference to Fig. 1, non-contact switch power fail diagnostic system of the present invention mainly by non-contact magnetically probe 202, amplifies conditioning device 203, data acquisition unit 204, and data processing unit 205 connects to form successively.Wherein, the two ends of contactless magnetic probe 202 link to each other with two input ends that amplify conditioning device 203 respectively, amplify the output voltage of conditioning device 203 and the voltage on the Switching Power Supply magnetic element and are directly proportional.
Said non-contact magnetically pops one's head in 202, is used to respond to the changes of magnetic field of tested Switching Power Supply magnetic element 201, the magnetic leakage signal of coupled switch power supply magnetic element; Its structure is as shown in Figure 2, and wherein, Fig. 2 (a) is the vertical view of non-contact magnetically probe; Fig. 2 (b) is the sectional view of non-contact magnetically probe, and it is made up of high frequency magnetic core 101, detecting coil 102 and screen layer 103, and coil 102 twines on the high frequency magnetic core 101; And place in the screen layer 103, to eliminate the interference of electric field, the seam crossing of screen layer 103 leaves slit, a place; To cut off the loop of eddy current, avoid the eddy effect of screen layer 103 that signal is caused damage.
Said amplification conditioning device 203; Its structure is as shown in Figure 3; It is made up of a mutual resistance amplifying circuit 301 and a differentiating circuit 302, and transreactance amplifier 301 will amplify from pop one's head in 202 coupled signal of non-contact magnetically, recover the current signal that flows through on the magnetic element 201; The current signal that recovers is input in the differentiator 302; To recover the voltage signal that is added on the magnetic element 201, this voltage signal is directly proportional with the voltage that is added on the Switching Power Supply magnetic element, the voltage signal that recovers is input in the data acquisition unit 204 again; Wherein the operational amplifier of mutual resistance amplifying circuit and differentiating circuit all adopts the NE5532 chip, but is not limited to this chip.
Said data acquisition unit 204; Be used for the voltage signal that amplifies after the conditioning is carried out digital sample, the device that its adopts data collecting card or oscillograph or has the digital-to-analog conversion function, its SF is 2.5M or is at least 20 times of Switching Power Supply frequency; For the information that comprises as much as possible; Sample sequence length is for being made as 100000, but is not limited to this sample sequence length, and that can get is longer.
Said data processing unit 205; Be used for to the digital signal from data acquisition unit 204 carry out filtering, remove direct current, normalization and eigenwert extract; According to the list of feature values of setting up before eigenwert of extracting and the diagnosis, diagnose out tested Switching Power Supply whether fault and fault type, and show; It comprises data preprocessing module, characteristic extracting module, list of feature values generation module, fault diagnosis module, human-machine interface module, wherein:
Data preprocessing module; Be used for the data after the sampling are carried out filtering, gone direct current and normalization to handle; To eliminate neighbourhood noise to the interference of magnetic leakage signal with reduce to pop one's head in and the uncertain influence that the test signal amplitude is caused of tested Switching Power Supply magnetic element distance; As shown in Figure 5, it by the filter preprocessing submodule, go direct current pre-service submodule, normalization pre-service submodule to form; The filter preprocessing submodule carries out filtering to the magnetic leakage signal from the data acquisition unit collection, eliminates the interference that noise signal is measured magnetic leakage signal, wherein adopts the method for wavelet filtering here, but is not limited only to the method; Magnetic leakage signal after filter preprocessing is input in the direct current pre-service submodule; To remove the flip-flop in the filtered magnetic leakage signal; Magnetic leakage signal after filter preprocessing also is input in the peak-to-peak value feature extraction submodule in the characteristic extracting module simultaneously, is used to extract the peak-to-peak value characteristic; Through going the pretreated magnetic leakage signal of direct current to be input in the normalization pre-service submodule, handle going magnetic leakage signal behind the direct current to carry out normalization, eliminated measurand and test macro apart from the uncertain influence that brings.
Characteristic extracting module; Be used to extract the characteristic of the magnetic leakage signal of Switching Power Supply plate; As shown in Figure 4, it is made up of peak-to-peak value feature extraction submodule, spectrum entropy feature extraction submodule, time domain entropy feature extraction submodule, characteristics of mean extraction submodule, root mean square feature extraction submodule, variance feature extraction submodule; Peak-to-peak value feature extraction submodule is used to extract the peak-to-peak value of magnetic leakage signal after filter preprocessing; Spectrum entropy feature extraction submodule is used to utilize spectrum entropy principle to extract the spectrum entropy of the magnetic leakage signal after normalization is handled; Time domain entropy feature extraction submodule is used to utilize the information entropy principle to extract the time domain entropy of the magnetic leakage signal after normalization is handled; Characteristics of mean is extracted submodule, is used to extract the average of the magnetic leakage signal after normalization is handled; Root mean square characteristic submodule is used to extract the root mean square of the magnetic leakage signal after normalization is handled; Variance characteristic submodule is used to extract the variance of the magnetic leakage signal after normalization is handled.
List of feature values generation module is used to set up the interval list of feature values of each characteristic distribution of magnetic leakage signal that comprises various experiment Switching Power Supply plates, and is as shown in Figure 6, it by average and the maximum deviation submodule with ask the interval submodule of eigenvalue distribution to form; Average and the maximum deviation submodule, be used to ask the average and the maximum deviation of each each characteristic of experimental power supply plate of repeatedly measuring the back acquisition; Ask the interval submodule of eigenvalue distribution; Be used for by average of trying to achieve and maximum deviation; Calculate the distributed area of each each characteristic of experimental power supply plate; The wherein interval upper bound is that average adds maximum deviation, and interval lower bound is that average deducts maximum deviation, and the distributed area of each each characteristic of experimental power supply plate is write in the table.
Fault diagnosis module is used to search the list of feature values, confirms the fault type of tested Switching Power Supply plate.
Human-machine interface module is used to show magnetic leakage signal waveform, eigenwert and fault type, abort situation.
Principle of work of the present invention is following:
Switching Power Supply is in the process of work; Its magnetic element is to the external radiation magnetic leakage signal; Non-contact magnetically probe is placed near the Switching Power Supply magnetic element in the 1-5cm scope, make magnetic leakage signal can pass the non-contact magnetically probe, the magnetic leakage signal that the non-contact magnetically probe obtains is through after amplifying conditioning device and handling; It is suitable to convert amplitude into, the voltage signal of being convenient to handle; Voltage signal from amplifying conditioning device converts Serial No. into behind the data acquisition unit digital sample; This Serial No. is input to the data preprocessing module of data processing unit, earlier through filter preprocessing submodule filtering noise, finds out the maximum value d in the magnetic leakage signal Serial No. after the filtering
MaxWith minimal value d
Min, calculate its peak-to-peak value characteristic V
Pp, V
Pp=d
Max-d
Min, be D={d through the Serial No. that goes direct current pre-service submodule and normalization pre-service submodule to obtain after the magnetic leakage signal normalization successively with magnetic leakage signal Serial No. after the filtering again
1, d
2..., d
k..., d
N, N is the length of Serial No. D, N=100000, wherein k data d among the D
kCalculate by following formula:
D wherein
PkBe the k data points in the magnetic leakage signal Serial No. behind the sampling filter, d
MaxBe the maximum value of this signal, d
MinBe the minimal value of this signal, k data d in the magnetic leakage signal sequence D that is obtained after the normalization
kSatisfy: 0≤d
k≤1, k=1,2 ..., N; Again the Serial No. D after the normalization is input to characteristic extracting module, extracts time domain entropy characteristic, spectrum entropy characteristic, characteristics of mean, root mean square characteristic, variance characteristic respectively.
Wherein time domain entropy feature extraction is that interval [0,1] is divided into n minizone, n=100; Then each intervals size is 1/n, calculates the numeric distribution scope of each minizone, that is: first interval [0,1/n); Second interval [1/n, 2/n) ..., n interval [99/n; 1],, counts the data number m in the magnetic leakage signal sequence D that comprises in each minizone according to the size of data in the magnetic leakage signal sequence D
j, j=1,2 ..., n is according to m
jWith the length N of sequence D, the data number that obtains each minizone accounts for the ratio p of total data number
Ti:
With p
TjSubstitution information entropy formula obtains the time domain entropy H of magnetic leakage signal
t:
When calculating,, stipulate p for making this formula meaningful all the time
Tj=0 o'clock,
Spectrum entropy feature extraction is that sequence D is carried out Fourier transform, obtains the sequence F={F after the conversion
1, F
2..., F
k..., F
N, with the element F among the sequence F
kSquare obtain the energy of each frequency content | F
k|
2, k=1,2 ..., N obtains the gross energy of magnetic leakage signal with summation behind all elements square, and then the energy of each element accounts for the ratio p of gross energy
FkFor:
With p
FkSubstitution information entropy formula obtains the spectrum entropy H of magnetic leakage signal
f:
When calculating,, stipulate p for making this formula meaningful all the time
Fk=0 o'clock,
Characteristics of mean is extracted, and is the average
of asking the D of Serial No.
The root mean square characteristic is carried; Be the root mean square r that asks the D of Serial No.,
The variance feature extraction; Be the variances sigma of asking the D of Serial No.,
Each eigenwert of extracting is input to fault diagnosis module; Search the list of feature values, the characteristic distribution that reads in the list of feature values first kind of experiment Switching Power Supply plate magnetic leakage signal is interval, judges that each characteristic of tested power panel is whether all in the interval of the individual features of this experiment Switching Power Supply plate magnetic leakage signal; If all in the interval of individual features; Then the fault of tested power panel is the corresponding fault of this experiment Switching Power Supply plate, otherwise reads a kind of down characteristic distribution interval of testing Switching Power Supply plate magnetic leakage signal in the list of feature values, judges successively; Up to the fault type of confirming tested Switching Power Supply plate; If having searched the list of feature values still can't find the experiment Switching Power Supply plate that has same fault with tested Switching Power Supply, then carry out fault and confirm, and its fault signature is mended in the list of feature values through manual method; To improve the list of feature values, increase the fault type that diagnostic system can be diagnosed.
This embodiment is to reference explanation of the present invention, does not constitute any restriction to content of the present invention.
Claims (7)
1. non-contact switch power fail diagnostic system comprises:
Contactless magnetic probe (202) is used to respond to the changes of magnetic field of tested Switching Power Supply magnetic element (201), and coupling leakage field radiation signal inputs to the amplification conditioning device with the magnetic leakage signal of coupling;
Amplify conditioning device (203), be used for the coupled signal from the non-contact magnetically probe is amplified conditioning, be added in the voltage signal on the magnetic element with recovery, and the voltage signal that recovers is input in the data acquisition unit (204);
Data acquisition unit (204) is used for the voltage signal that amplifies after nursing one's health is carried out digital sample, again the digital signal behind the sample quantization is input to data processing unit (205);
Data processing unit (205); Be used for to carry out filtering from the digital signal of data acquisition unit (204), remove direct current, normalization and eigenwert extract; According to the list of feature values of setting up before eigenwert of extracting and the diagnosis, diagnose out tested Switching Power Supply whether fault and fault type, and show;
It is characterized in that:
Contactless magnetic probe (202) comprises high frequency magnetic core (101), detecting coil (102) and screen layer (103), and this detecting coil (102) is wrapped on the high frequency magnetic core (101);
Amplify conditioning device (203); Comprise transreactance amplifier (301) and differentiator (302) composition; To pop one's head in from the non-contact magnetically coupled signal of (202) of transreactance amplifier (301) amplifies, and recovers the current signal that flows through on the magnetic element (201), and the current signal that recovers is input in the differentiator (302); To recover the waveform voltage signal that is added on the magnetic element (201), again the voltage signal that recovers is input in the data acquisition unit (204);
Data processing unit (205) comprising:
Data preprocessing module: be used for the data after the sampling are carried out filtering, gone direct current and normalization to handle, to eliminate neighbourhood noise to the interference of magnetic leakage signal with reduce the uncertain influence that the test signal amplitude is caused of probe distance;
Characteristic extracting module: the magnetic leakage signal characteristic that is used to extract the Switching Power Supply plate;
List of feature values generation module: be used to set up the interval list of feature values of each characteristic distribution of magnetic leakage signal that comprises various experiment Switching Power Supply plates;
Fault diagnosis module: be used to search the list of feature values, confirm the fault type of tested Switching Power Supply plate;
Human-machine interface module: be used to show magnetic leakage signal waveform, eigenwert and failure mode, abort situation;
Described data preprocessing module outputs to the input end of characteristic extracting module;
Described characteristic extracting module outputs to the input end of list of feature values generation module or fault diagnosis module;
Described fault diagnosis module outputs to the input end of human-machine interface module.
2. non-contact switch power fail diagnostic system according to claim 1; The two ends of wherein contactless magnetic probe (202) link to each other with two input ends that amplify conditioning device (203) respectively, amplify the output voltage of conditioning device (203) and the voltage on the Switching Power Supply magnetic element and are directly proportional.
3. non-contact switch power fail diagnostic system according to claim 1, wherein non-contact magnetically probe (202) places near the magnetic element (201) of Switching Power Supply, makes magnetic leakage signal can pass the non-contact magnetically probe.
4. non-contact switch power fail diagnostic system according to claim 1; The output terminal of wherein contactless magnetic probe (202) is connected to the input end of transreactance amplifier (301); The output terminal of transreactance amplifier (301) links to each other with the reverse input end of differentiator (302) through electric capacity, and the output terminal of differentiator (302) is connected to the input end of data acquisition unit (204).
5. non-contact switch power fail diagnostic system according to claim 1, wherein data preprocessing module comprises:
Filter preprocessing submodule: be used for the magnetic leakage signal of data collector collection is carried out wavelet filtering, eliminate the interference that noise signal is measured magnetic leakage signal;
Remove direct current pre-service submodule: the flip-flop that is used for removing magnetic leakage signal after the filtering;
Normalization pre-service submodule: be used for handling, reduce to pop one's head in and the uncertain influence that the magnetic leakage signal amplitude is caused of tested Switching Power Supply magnetic element distance with going magnetic leakage signal behind the direct current to carry out normalization;
Described filter preprocessing submodule outputs to the input end of direct current pre-service submodule;
The described input end that goes direct current pre-service submodule to output to normalization pre-service submodule.
6. non-contact switch power fail diagnostic system according to claim 1, wherein characteristic extracting module comprises:
Peak-to-peak value feature extraction submodule: the peak-to-peak value that is used to extract Switching Power Supply plate magnetic leakage signal after the filtering;
Spectrum entropy feature extraction submodule: be used to utilize spectrum entropy principle to extract the spectrum entropy of the magnetic leakage signal after normalization is handled;
Time domain entropy feature extraction submodule: be used to utilize the information entropy principle to extract the time domain entropy of the magnetic leakage signal after normalization is handled;
Characteristics of mean is extracted submodule: the average that is used to extract the magnetic leakage signal after normalization is handled;
Root mean square feature extraction submodule: the root mean square that is used to extract the magnetic leakage signal after normalization is handled;
Variance feature extraction submodule: the variance that is used to extract the magnetic leakage signal after normalization is handled.
7. non-contact switch power fail diagnostic system according to claim 1, wherein list of feature values generation module comprises:
Average and the maximum deviation submodule: the average and the maximum deviation that are used to ask each each characteristic of experimental power supply plate of repeatedly measuring the back acquisition;
Ask the interval submodule of eigenvalue distribution: be used for by average of trying to achieve and maximum deviation; Calculate the distributed area of each each characteristic of experimental power supply plate; The wherein interval upper bound is that average adds maximum deviation; Interval lower bound is that average deducts maximum deviation, and the distributed area of each each characteristic of experimental power supply plate is write in the table;
Described average and the maximum deviation submodule outputs to the input end of asking the interval submodule of eigenvalue distribution.
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| CN110503004B (en) * | 2019-07-29 | 2022-03-22 | 七彩安科智慧科技有限公司 | On-line judging method for operating state of switching power supply |
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Application publication date: 20120725 |