CN1896760A - Method for determining short circuit between windings of power generator rotor with load automatically - Google Patents
Method for determining short circuit between windings of power generator rotor with load automatically Download PDFInfo
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- CN1896760A CN1896760A CN 200610042983 CN200610042983A CN1896760A CN 1896760 A CN1896760 A CN 1896760A CN 200610042983 CN200610042983 CN 200610042983 CN 200610042983 A CN200610042983 A CN 200610042983A CN 1896760 A CN1896760 A CN 1896760A
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Abstract
The invention discloses a method that can identify the short-circuit malfunction between the winding of the dynamo rotor voluntarily in the loads working condition, the method integrates the inductive electrometric wave of the flux detector to gain magnetic flux density wave, picking up the characteristic of the malfunction, and giving two new methods to gain the result of the malfunction examination for combination, one is a calculation method that comparing the deviation between the wave crest and trough of the rotator tooth harmonic of wave in symmetrical location of magnetism dense wave form semi-period, the method solves the problem that the inductive electrometric wave form of the magnetic flux detector in tradition method can not monitor the malfunction accurately because that it is asymmetry in load working condition; another is a calculation method that comparing the peak value of tooth harmonic wave of magnetism dense wave rotator, the method solves the problem that the tradition method can not monitor the malfunction in the situation that there is circle short circuit malfunction in the symmetrical location of dynamo rotor. The method in this invention can satisfy the request of the generator monitor on line in load working condition, the accuracy of malfunction diagnose improves further, the rate of fail report reduces greatly.
Description
Technical field
The present invention relates to a kind of fault recognition method, be particularly related to the method for discerning the generator rotor interturn short-circuit fault under a kind of load behavior automatically, this method obtains magnetic flux density waveforms based on the induced potential integration, the method that magnetic flux density waveforms is further analyzed, it is asymmetric and cause accurately monitoring the problem of fault under load behavior to eliminate classic method magnetic flux detector induced potential waveform; And under appearring in the generator amature symmetric position, the situation of shorted-turn fault can't monitor the problem of fault.
Background technology
The generator amature winding inter-turn fault that is short-circuited easily.Shorted-turn fault causes local overheating easily, forms the rotor ground fault fault at last.In addition, turn-to-turn short circuit causes that rotor heating is inhomogeneous, rotor bow and the unbalanced magnetic pull of generation, and all above these factors will cause that motor oscillating increases.Because rotor interturn short-circuit fault initial stage is little or fault signature is not obvious often out in the cold easily to the normal influence on system operation of unit, and increase in time, many shorted-turn faults can further develop, the rotor winding a bit even 2 ground connection, cause the generation of serious accident, the early prediction that therefore carries out shorted-turn fault is very necessary.
For the generator rotor interturn short-circuit failure judgment; at present both at home and abroad general means are to carry out under static operating mode such as conventional preventive trial projects such as insulation, dc impedance, AC impedance and power consumptions; its cycle is generally 3-4 once; because the test period is longer; and doing this type of test must make genset out of service; be suitable for the conventional test during the genset overhaul, or the further property the confirmed diagnosis of short trouble (carrying out after the shutdown) to forecasting under the running status.This shows that this type of is tested the shorted-turn fault that run duration took place, and is difficult to form effective detection.
The magnetic flux detector is obtaining application widely closely during the last ten years at home and abroad, and national Machinery Ministry has been issued JB/T 8446-1996 standard in 1996, two kinds of diagnostic methods have been formulated in the diagnosis of generator amature turn-to-turn short circuit.A kind of is to be used for the impedance measurement that detects under the static operating mode, and another kind is to be used for the detecting coil Waveform Method that detects under the dynamic operation condition.
The detecting coil Waveform Method is to read two groups of data in 180 ° of front and back of rotor rotation geometry, to compare.The sensitivity meeting that the detecting coil Waveform Method is diagnosed when the generator belt load operation reduces, and is difficult to realize one-time positioning simultaneously, sometimes also is difficult to detect for slight turn-to-turn short circuit.Asymmetry occurs because armature reaction can influence the magnetic hysteresis loop of rotor during the generator belt load operation, it is asymmetric that its result can cause the detecting coil waveform.If while generator amature symmetric position this method of shorted-turn fault occurs and also will lose efficacy.
Rotor is except that having high magnetic permeability, and another important magnetic characteristics are exactly magnetic hysteresis.Under the effect, ferromagnetic magnetic history is complicated in D.C. magnetic field and AC magnetic field.If on the basis in a direct current biasing magnetic field, when acting on a small-signal alternating magnetic field, the magnetic state of ferromagnetic material will not change along magnetization curve, and be the center with former working point, form this magnetic hysteresis loop of an increment ring (being minor loop) and be called incremental hysteresis loop (asymmetric hysteresis).
When generator moved under the on-load state, air-gap field was to be produced by the rotor field of rated exciting current and the stator field acting in conjunction that changes along with the electrical network demand.Asymmetrical magnetic hysteresis loop can cause asymmetrical induced potential waveform, when the asymmetric hysteresis phenomenon appears in generator amature, the induced potential waveform reaction rotor field of magnetic flux detector output and the acting in conjunction result of stator field, therefore the waveform of induced potential can further distort along with the variation of load, thereby causes induced potential waveform symmetry relative method just can't accurately detect shorted-turn fault.And the magnetic flux density waveforms of process integration can eliminate the effect of stator field, only reacts the exercising result of rotor field, thereby can guarantee no matter be under the zero load or the situation of load, can both accurate response turn-to-turn short circuit situation.As can be seen from Figure 1 above result, wherein a figure is a monocycle induced potential waveform, b figure is through the monocycle magnetic flux density waveforms behind the integration, dotted line is a semiperiod crest envelope before the monocycle induced potential waveform among the c figure, solid line is for having carried out after the Y-axis symmetry result to the left semiperiod to the trough envelope in monocycle in later half cycle of induced potential waveform, dotted line is a semiperiod envelope before the monocycle magnetic flux density waveforms among the d figure, and solid line has carried out after result from the Y-axis symmetry to the left semiperiod for the trough envelope to monocycle in the later half cycle of magnetic flux density waveforms.As can be seen from Figure, the envelope shape difference of semiperiod is bigger before and after the induced potential waveform, and along with the difference of load also can change to some extent, because cause the theoretical foundation of traditional induced potential waveform symmetry method deviation to occur; And the envelope of the front and back semiperiod of magnetic flux density waveforms almost overlaps, and can guarantee the accuracy of analyzing under any load state.
Summary of the invention
At the above-mentioned prior art generator problem that can't accurately detect for a long time at load condition lower rotor part shorted-turn fault, the objective of the invention is to, automatically the method for discerning the generator rotor interturn short-circuit fault under a kind of load behavior is provided, this method obtains magnetic flux density waveforms employing analysis magnetic flux density waveforms to the induced potential integral of pulse shape of magnetic flux detector, extract fault signature, the fault detect result is obtained in the combination of two kinds of computing method.
In order to realize above-mentioned task, the present invention takes following technical solution:
A kind of load behavior is discerned the method for generator rotor interturn short-circuit fault down automatically, it is characterized in that, this method adopts analyzes magnetic flux density waveforms, extracts fault signature, and the fault detect result is obtained in the combination of two kinds of computing method, specifically may further comprise the steps:
1) the magnetic flux detector is installed in power generator air gap, every 5s gathers a secondary data, gathers the induced potential data stream that 30ms is 1.5 cycles at every turn;
2) the rotor canine tooth section in the induced potential waveform is analyzed and discerned, intercept first canine tooth section data of 20ms, the i.e. complete waveform in 1 cycle afterwards;
3) monocycle induced potential Wave data integration is obtained monocycle magnetic flux density waveforms data;
4) utilize magnetic flux density waveforms symmetry relative method analysis list cycle magnetic flux density waveforms, the generator rotor interturn short-circuit fault is analyzed and discerned;
5) utilize magnetic flux density waveforms harmonic peaks Peak Intensity Method analysis list cycle magnetic flux density waveforms, the generator rotor interturn short-circuit fault is analyzed and discerned;
6) result with two kinds of computing method comprehensively provides final fault detect result.
The generator rotor interturn short-circuit detection method that the present invention provides, having overcome the sensitivity meeting that detecting coil Waveform Method in the past diagnoses when the generator belt load operation reduces, be difficult to realize one-time positioning simultaneously, sometimes also be difficult to detected shortcoming for slight turn-to-turn short circuit.Take magnetic flux density waveforms symmetry relative method, eliminate armature reaction and cause the asymmetrical influence of detecting coil waveform; Take magnetic flux density waveforms harmonic peaks Peak Intensity Method, solved the generator amature symmetric position shortcoming that relative method can't detect that breaks down; Thereby the sensitivity and the accuracy that detect have been improved greatly.
Description of drawings
Fig. 1 is the monocycle oscillogram, and wherein a is a monocycle induced potential oscillogram, and b is monocycle magnetic flux density waveforms figure, and c is monocycle induced potential crest and trough envelope diagram, and d is monocycle magnetic flux density waveforms crest and trough envelope diagram;
Fig. 2 is this detection method process flow diagram;
Fig. 3 is a fault diagnostic equipment hardware block diagram;
Fig. 4 is front end signal modulate circuit figure.
The present invention is described in further detail below in conjunction with accompanying drawing and specific implementation method.
Embodiment
The process flow diagram of the detection method of generator rotor interturn short-circuit fault of the present invention specifically may further comprise the steps as shown in Figure 2:
The magnetic flux detector is installed in power generator air gap, and every 5s gathers a secondary data, gathers the 30ms data stream in (1.5 cycle) at every turn;
The detecting coil of magnetic flux detector is to be the high strength enamelled wire of 0.05-0.07 millimeter with diameter, twines the 100-200 circle, and the insulation rod length of magnetic flux detector is equivalent to the height of stator slot, and lead-in wire is from managing interior derivation.The air duct of general generator unit stator is the 8-10 millimeter, so the external diameter of sound-pipe is got 8 millimeters, so that insert air duct.Detecting coil generally apart from rotor surface from
Inch arrives
Between the inch, approximately be positioned at stator core inside surface centre vertically and be advisable.
Because rotor interturn short-circuit fault initial stage is little to the normal influence on system operation of unit, and along with the increase of time, many shorted-turn faults just can further develop, and finally cause the generation of serious accident.Therefore the real-time of rotor interturn short-circuit fault detect is less demanding, and the present invention selects every 5s to gather a secondary data, and sampling rate is 50k/s.The rated revolution of generator amature is 3000rpm, and the induced potential data stream that the present invention designs each collection 30ms is the data of 1.5 wave periods.
Rotor canine tooth section to the induced potential waveform is analyzed and is discerned, and intercepts first canine tooth section data of 20ms, the i.e. complete waveform in 1 cycle afterwards;
As shown in Figure 1a, be detected induced potential oscillogram under the 600MW generator rated speed, generator amature adopts radial slots.Along the rotor outer ring, account on 2/3 the rotor surface and evenly opening 32 following wire casings, do not open wire casing down in the other part that accounts for rotor 1/3, formed canine tooth.16 crests and 16 troughs of induced potential waveform are corresponding one by one with 32 following wire casings of rotor.
The harmonic wave of generator amature canine tooth section is produced by stator slot, because the sensor distance stator surface is far away relatively, so the harmonic peaks peak value of rotor canine tooth section is starkly lower than the rotor tooth harmonic wave.The about 4.5V of the peak swing of induced potential waveform, the about 0.5V of harmonic peaks peak value of rotor canine tooth section, the about 3-4V of rotor tooth harmonic peaks peak value.According to the lower feature of generator amature canine tooth section harmonic peaks peak value, can intercept the induced potential waveform of one-period.
The concrete steps of above-mentioned identification induced potential waveform rotor canine tooth section are:
1) the induced potential data stream of obtaining is searched, discern its maximal value and minimum value, obtain the peak swing change amount of induced potential waveform, 10% of peak swing change amount is set to threshold alpha by calculated difference
1
2) get the 0.4ms data from the data stream reference position, calculate induced potential waveform peak swing change amount;
3) judge whether the peak swing change amount in the 0.4ms exceeds threshold alpha
1If do not exceed threshold value then illustrate and detected rotor canine tooth section, if exceed threshold value then continue to take off one section 0.4ms data stream and analyze, up to detecting the canine tooth section.
Monocycle induced potential Wave data integration is obtained monocycle magnetic flux density waveforms data; The monocycle magnetic flux density waveforms is carried out symmetrical relative method identification fault, and its concrete steps are:
1) crest and the trough of monocycle magnetic flux density waveforms rotor slot ripples are analyzed and discerned;
2) judge the first-harmonic variation tendency of semiperiod before the magnetic flux density waveforms according to the crest value of magnetic flux density waveforms The initial segment.If crest value increases gradually, the variation tendency of semiperiod first-harmonic is to rise gradually before showing, then deposits the crest value of preceding semiperiod rotor tooth harmonic wave and the trough value of later half cycle rotor tooth harmonic wave in array A in order; If crest value reduces gradually, the variation tendency of semiperiod first-harmonic is to descend gradually before showing, deposits the crest value of later half cycle rotor tooth harmonic wave and the trough value of preceding semiperiod rotor tooth harmonic wave in array A in order; In this example, 16 of the every utmost points of rotor teeth groove, so array A element number is 32.
3) utilize the crest of the data computation semiperiod symmetric position in the array and the amplitude deviation E[i-1 between the trough]: promptly calculate the individual data A[i-1 of i in the array (1≤i≤16)] with (i+16) individual data A[i+15] poor;
4) amplitude deviation threshold α between magnetic flux density waveforms symmetric position crest and the trough is set
2α
2Be 5% of the mean value E of whole deviations;
5) the mean value E of the whole deviations of calculating;
6) calculate arbitrary amplitude deviation E[i-1] and E between difference, judge whether this difference exceeds threshold alpha
2If exceed threshold value then illustrate and have the trouble spot, if deviation E[i-1] for just, fault is positioned at rotor N utmost point i groove, if deviation E[i-1] for bearing, fault is positioned at rotor S utmost point i groove; If do not exceed threshold value then non-fault be described.
The monocycle magnetic flux density waveforms is carried out harmonic peaks Peak Intensity Method identification fault, and its concrete steps are:
1) crest and the trough of monocycle magnetic flux density waveforms rotor tooth harmonic wave are analyzed and discerned, and the rotor tooth harmonic wave is numbered;
2) crest value of each rotor tooth harmonic wave and trough value are subtracted each other, and calculate the peak-to-peak value of each rotor tooth harmonic wave;
3) the harmonic peaks peak value to magnetic flux density waveforms carries out interpolation calculation by the one dimension batten;
4) adopt harmonic peaks peak curve catastrophe point after two fast algorithm----the Mallat algorithms that advance wavelet transform grasp interpolation calculation;
5) the sudden change threshold alpha is set
3 Be 5% of this place's rotor tooth harmonic peaks peak value, and judge whether catastrophe point exceeds threshold value; Exist trouble spot, fault to be positioned at the catastrophe point place if exceed threshold value then illustrate, do not have the trouble spot if exceed threshold value then illustrate.
Be the instantiation that the inventor provides below:
As shown in Figure 3, for adopting the hardware composition frame chart of the generator rotor interturn short-circuit On-line Fault diagnostic equipment that method for diagnosing faults provided by the invention realizes.Consist of the following components: power circuit 1, signal conditioning circuit 2, reference voltage circuit 3, AD sampling and digital signal processor circuit 4, CAN bus driver 5 extends out ram space 6, LCD display circuit 7, sound and light alarm indicating circuit 8, CF card memory circuit 9, keyboard circuit 10 is formed.
Because fault diagnosis algorithm provided by the invention needs complicated digital signal processing algorithm, in order to satisfy the real-time operation requirement of system, select the core of digital signal processor (DSP) TMS320LF2407 for use as system, it can reach the execution speed of 30MIPS under the clock frequency of 30MHz, be enough to satisfy the system real time requirement.In DSP inside, except CPU core, also integrated special-purpose hardware multiplier, 16 path 10 bit A/D converters, controller local area network (CAN) 2.0B module, watchdog circuit etc.
The front end signal modulate circuit mainly is made up of three parts as shown in Figure 4: instrumentation amplifier signal conditioning circuit 3, gain digital control circuit 2, biasing numeral are adjusted circuit 12 and are formed.Instrumentation amplifier adopts AD623, its gain can by be connected on outward+RG and-gain resistor between the RG sets in 1～1000 scope easily.The Calculation of Gain formula is as follows:
The effect of AD623 in front-end circuit has three.The first, amplify with high cmrr, high closed loop gain precision and high input impedance small voltage signal, with the input range of coupling ADC miniature detecting coil output.The second, because ADC serves as with reference to the input simulating signal is changed with+2.50v voltage, the digital adjustable voltage benchmark of AD623 by being added on the REF pin is to the adjustment of setovering of its input signal; The 3rd, cooperate digital regulation resistance, by the difference of programmed control insertion gain resistance R G, realize the digital control of gain.
Select digital regulation resistance X9313 in the gain digital control circuit for use, total resistance is 100k, and 32 taps also promptly in the front end signal treatment circuit, cooperate with AD623, can realize 32 grades programmable amplifier, and enlargement factor can be adjusted in 2～1000 times of scopes.
The biasing numeral is adjusted circuit and is adopted MAX517 to realize, is carried out the scope of programmed control output voltage by single-chip microcomputer.
Can get the computing formula of following ADC input voltage by above analysis:
In the formula: u
Adm--------the input signal of-----ADC
u
m---------------miniature coils output signal
R
G-------------digital regulation resistance inserts the resistance of modulate circuit part
The value of DACReg-----max517 translation register, scope 00H-0FFH
Voltage reference circuit is selected the max6166 of MAXIM company for use, and its input voltage is 2.7v～12.6v, and output voltage is 2.50v, and temperature coefficient is 5ppm/ ℃, has excellent precision, provides accurate reference voltage to the accurate measurement of induced potential magnetic flux density waveforms.
Because therefore the inner integrated CAN bus controller of DSP, only needs to add CAN bus driver chip, can realize the CAN communication network of instrument, is connected the transmission data easily with computing machine.In this example, selection be the SN65HVD231D of TI company, there is a driver its inside, a receiver, operating voltage is 3.3V.
Because rotor interturn short-circuit fault waveform and subsequent analysis waveform are comparatively complicated, therefore select for use CSTN7.7# liquid crystal (LM8V302) that display interface is provided, this liquid crystal has 640 * 480 dot matrix, 8 looks, can satisfy the demonstration needs, with original induced potential waveform, magnetic flux density waveforms, reach processing back waveform and show that with different colours convenient the differentiation checked simultaneously.
Consider the data of gathering are stored for a long time, be beneficial to subsequent analysis, select for use CF card (Compact Flash) to preserve data.512M CF card 150 yuan of prices only have very high cost performance in the market, and in this instrument, design CF card expansion slot can dispose the CF card of different capabilities voluntarily according to user's needs, carries out data storage.To select 256M CF card for use is example, (sampling rate is 50kps to each storage 1.5 periodic waveform data, sampling precision is 10), storage in per 10 minutes once, the then storable time be 256M/ (24*6*1.5*50000*2/50)=621 (my god), promptly the CF card of a 256M can be stored nearly 2 years Wave data.Because the read-write operation of this CF card is unit operation with the sector, each sector-size is 512 bytes, therefore extends out a slice RAM, and use as the interim storage of data and the required variable space of program run in the 64kB space.
This failure diagnostic apparatus also is provided with the sound and light alarm indication, if diagnosis has fault, will provide the switching value warning message by relay, and this switching value may command is positioned at the photon board of pulpit, thereby goes to check fault before the warning reminding operating personnel.
The function that the generator rotor interturn short-circuit On-line Fault diagnostic equipment of realizing by above-mentioned module has is as follows:
1) the induced potential signal of magnetic flux detector output is gathered, collection period can be adjusted, and scope is 5 seconds～60 seconds;
2) but the responsive computer request detects data and fault diagnosis result with CAN bus mode transmission;
3) can store for a long time image data, storage time is optional at interval, scope 5 minutes～24 hours;
4) fault is diagnosed by magnetic flux density waveforms balanced method and magnetic flux density waveforms harmonic peaks Peak Intensity Method, provided diagnostic result
5) fault of finding is provided alerting signal output;
6) can show magnetic flux density waveforms behind induced potential waveform, the integration, the waveform after magnetic flux density waveforms balanced method and magnetic flux density waveforms harmonic peaks Peak Intensity Method are handled;
7) can from the CF card, adjust back the historical data waveform, and it is carried out fault analysis;
The generator rotor interturn short-circuit detection method that adopts the present invention to provide, having overcome the sensitivity meeting that detecting coil Waveform Method in the past diagnoses when the generator belt load operation reduces, be difficult to realize one-time positioning simultaneously, sometimes also be difficult to detected shortcoming for slight turn-to-turn short circuit.The generator rotor interturn short-circuit failure diagnostic apparatus of being developed adopts digital signal processor to cooperate color liquid crystal screen, has good fault analysis and display capabilities, and instrumental function is abundant, and is easy to operate, man-machine interface close friend.
Claims (6)
1. a load behavior descends the method for identification generator rotor interturn short-circuit fault automatically, it is characterized in that, this method obtains magnetic flux density waveforms to the induced potential integral of pulse shape of magnetic flux detector, extract fault signature, obtain the fault detect result with the combination of two kinds of computing method, specifically may further comprise the steps:
1) the magnetic flux detector is installed in power generator air gap, every 5s gathers a secondary data, gathers the induced potential data stream that 30ms is 1.5 cycles at every turn;
2) the rotor canine tooth section in the induced potential waveform is analyzed and discerned, intercept first canine tooth section data of 20ms, the i.e. complete waveform in 1 cycle afterwards;
3) monocycle induced potential Wave data integration is obtained monocycle magnetic flux density waveforms data;
4) utilize magnetic flux density waveforms symmetry relative method analysis list cycle magnetic flux density waveforms, the generator rotor interturn short-circuit fault is analyzed and discerned;
5) utilize magnetic flux density waveforms harmonic peaks Peak Intensity Method analysis list cycle magnetic flux density waveforms, the generator rotor interturn short-circuit fault is analyzed and discerned;
6) result with two kinds of computing method comprehensively provides final fault detect result.
2. method as claimed in claim 1 is characterized in that, the concrete steps of described identification induced potential waveform rotor canine tooth section are:
1) the induced potential data stream of obtaining is searched, discern its maximal value and minimum value, obtain the peak swing change amount of induced potential waveform, 10% of peak swing change amount is set to threshold alpha by calculated difference
1
2) get the 0.4ms data from the data stream reference position, calculate induced potential waveform peak swing change amount;
3) judge whether the peak swing change amount in the 0.4ms exceeds threshold alpha
1If do not exceed threshold value then illustrate and detected rotor canine tooth section, if exceed threshold value then continue to take off one section 0.4ms data stream and analyze, up to detecting the canine tooth section.
3. the method for claim 1 is characterized in that, the concrete steps of described magnetic flux density waveforms symmetry relative method are:
1) crest and the trough of monocycle magnetic flux density waveforms rotor slot ripples are analyzed and discerned;
2) judge the first-harmonic variation tendency of semiperiod before the magnetic flux density waveforms according to the crest value of magnetic flux density waveforms The initial segment, if crest value increases gradually, the variation tendency of semiperiod first-harmonic is to rise gradually before showing, then deposits the crest value of preceding semiperiod rotor tooth harmonic wave and the trough value of later half cycle rotor tooth harmonic wave in array A in order; If crest value reduces gradually, the variation tendency of semiperiod first-harmonic is to descend gradually before showing, deposits the crest value of later half cycle rotor tooth harmonic wave and the trough value of preceding semiperiod rotor tooth harmonic wave in array A in order; Array A element number is N, and N corresponds to the rotor slot sum;
3) utilize the crest of the data computation semiperiod symmetric position in the array and the amplitude deviation E[i-1 between the trough]: promptly calculate i data A[i-1 in the array] with i+N/2 data A[i-1+N/2] poor, 1≤i≤N/2 wherein;
4) amplitude deviation threshold α between magnetic flux density waveforms symmetric position crest and the trough is set
2
5) the mean value E of the whole deviations of calculating;
6) calculate arbitrary amplitude deviation E[i-1] and E between difference, judge whether this difference exceeds threshold alpha
2If exceed threshold value then illustrate and have the trouble spot, if deviation E[i-1] for just, fault is positioned at rotor N utmost point i groove, if deviation E[i-1] for bearing, fault is positioned at rotor S utmost point i groove; If do not exceed threshold value then non-fault be described.
4. the method for claim 1 is characterized in that, the concrete steps of described magnetic flux density waveforms harmonic peaks Peak Intensity Method are:
1) crest and the trough of monocycle magnetic flux density waveforms rotor tooth harmonic wave are analyzed and discerned, and the rotor tooth harmonic wave is numbered;
2) crest value of each rotor tooth harmonic wave and trough value are subtracted each other, and calculate the peak-to-peak value of each rotor tooth harmonic wave;
3) the harmonic peaks peak value to magnetic flux density waveforms carries out interpolation calculation by the one dimension batten;
4) adopt harmonic peaks peak curve catastrophe point after two fast algorithm----the Mallat algorithms that advance wavelet transform grasp interpolation calculation;
5) the sudden change threshold alpha is set
3, and judge whether catastrophe point exceeds threshold value; Exist trouble spot, fault to be positioned at the catastrophe point place if exceed threshold value then illustrate, do not have the trouble spot if exceed threshold value then illustrate.
5. method as claimed in claim 3 is characterized in that, the threshold alpha in the described magnetic flux density waveforms balanced method
2Be 5% of the mean value E of whole deviations.
6. method as claimed in claim 4 is characterized in that, described sudden change threshold alpha
3With 5% of this place's rotor tooth harmonic peaks peak value is catastrophe point.
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| CN103792463A (en) * | 2014-02-25 | 2014-05-14 | 华北电力大学（保定） | Steam-turbine generator rotor winding short trouble diagnosis method based on fictitious power principle |
| CN103792463B (en) * | 2014-02-25 | 2017-02-01 | 华北电力大学（保定） | Steam-turbine generator rotor winding short trouble diagnosis method based on fictitious power principle |
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| CN106970326B (en) * | 2017-04-27 | 2023-05-23 | 哈尔滨理工大学 | Stator core fault judging, measuring and controlling system and method for micro-special motor |
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| CN110631527A (en) * | 2019-08-29 | 2019-12-31 | 南京理工大学 | Urban rail train linear motor slot wedge sinking fault detection method |
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| CN110703091B (en) * | 2019-09-12 | 2021-10-22 | 哈尔滨工业大学（威海） | Static eccentric fault detection method for built-in permanent magnet synchronous motor for electric automobile |
| CN111983450A (en) * | 2020-08-18 | 2020-11-24 | 哈尔滨工业大学 | Electric automobile driving motor fault diagnosis system based on embedded detection coil |
| CN112483450A (en) * | 2020-11-12 | 2021-03-12 | 福建凯威消防通风设备有限公司 | Early warning method of emergency fan with early warning function |
| CN113933762A (en) * | 2021-09-22 | 2022-01-14 | 珠海凌达压缩机有限公司 | Method and system for measuring rotor magnetic flux of variable frequency compressor |
| CN113933762B (en) * | 2021-09-22 | 2023-07-25 | 珠海凌达压缩机有限公司 | Method and system for measuring magnetic flux of rotor of variable frequency compressor |
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