CN105116208B - A kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults - Google Patents

A kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults Download PDF

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CN105116208B
CN105116208B CN201510508305.8A CN201510508305A CN105116208B CN 105116208 B CN105116208 B CN 105116208B CN 201510508305 A CN201510508305 A CN 201510508305A CN 105116208 B CN105116208 B CN 105116208B
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commutation failure
extra
transmission system
high voltage
fault
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CN105116208A (en
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陈仕龙
王燕武
毕贵红
杨具瑞
荣俊香
罗璐
李建平
黄钰淇
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Kunming University of Science and Technology
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Abstract

The present invention relates to a kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults, belongs to HVDC transmission system fault diagnosis technology field.The present invention carries out layering manufacture to the DC current signal sequence of extraction first;Then noise reduction process is carried out to signal, be filtered after processing with morphological filter, and extract its high band component;High band component is subjected to Hilbert-Huang transform, obtains the instantaneous frequency maximum f and amplitude average value A of intrinsic mode function component, setpoint frequency threshold value f0With amplitude average threshold A0If f >=f0, system jam, if not, then system normal operation;If system jam, A >=A is judged0, if set up, be line short fault if setting up, it is on the contrary then be commutation failure failure.Therefore the present invention can determine the running status, commutation failure failure, line short fault of system exactly.

Description

A kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults
Technical field
The present invention relates to a kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults, more particularly to a kind of profit The extra-high voltage DC transmission system commutation converted with singular value decomposition (SVD)-morphological filter and Hilbert-Huang (HHT) is lost Method for diagnosing faults is lost, belongs to HVDC transmission system fault diagnosis technology field.
Background technology
At present, the technology for DC transmission system commutation failure fault distinguishing is mainly minimum turn-off angle diagnostic method and most Small voltage drop method.But these methods have certain limitation, when transition resistance of the circuit through certain numerical value occurs during short circuit, Minimum turn-off angle is also resulted in less than minimum value is limited, i.e., in this case, the detection means of commutation failure failure can will be short Road fault verification is commutation failure, now suppresses the control protective unit of commutation failure and can malfunction.When a stable system When breaking down, its temporal variations feature contains many information of failure, takes the transient characterisitics of signal from its time-frequency Specificity analysis, it can fundamentally distinguish out of order type.In recent years, scholar enters using Digital Signal Processing to it Row analysis, such as wavelet analysis technology, grey relational grade etc., but wavelet analysis has intercrossing in frequency band division, utilizes The numerical value by judging minimum turn-off angle in advance is also needed during grey relational grade, it is not very high to cause it to diagnose accuracy.It is uncommon Your Bert-Huang (HHT) is converted as a kind of new method of time frequency analysis, and it has certainly on non-linear, non-stationary signal is handled Adaptability, it is more accurate in divided band, it can accurately extract the frequency values of fault-signal.Therefore, it is necessary to using new Signal processing technology fundamentally determine line short fault and commutation failure failure.
The content of the invention
It is extra-high for distinguishing the invention provides a kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults Line short fault, commutation failure in DC transmission system are pressed, solves current minimum turn-off angle diagnostic method in certain numerical value The problem of being judged as commutation failure during the short circuit that transition resistance occurs.
What extra-high voltage DC transmission system commutation failure method for diagnosing faults of the present invention was realized in:The extra-high straightening Stream transmission system commutation failure method for diagnosing faults comprises the following steps that:
After Step1, extra-high voltage DC transmission system break down, inverter side data acquisition device collection fault current traveling wave Fault current data after Mintrop wave head reaches during 5ms in window;
Step2, the current signal progress phase-model transformation by collection, extract its 1 modulus and carry out m layer phase space reconfigurations, obtain Matrix after to reconstruct;
Step3, singular value decomposition is carried out to the matrix after reconstruct, appropriate noise reduction is chosen according to the distribution trend of singular value Order m', noise reduction then is carried out to DC current signal;
Step4, the signal after noise reduction is sent into morphological filter, extraction high frequency form component d;
Step5, the high frequency form component progress HHT conversion by extraction, obtain the wink of first intrinsic mode function component When frequency maxima f and amplitude average value A;
Step6, setpoint frequency threshold value f0With amplitude average threshold A0
Step7, judge f >=f0Whether set up, if so, system jam, if not, then system normal operation; If f >=f0Establishment then subsequently determines that A >=A0Whether set up, if setting up phyletic line road short trouble, if not, it is then Commutation failure failure occurs for system.
In the step Step2, extract its 1 modulus and carry out m=50 layer phase space reconfigurations, wherein carrying out Space Reconstruction Time delayses constant is set to 1.
In the step Step3, according to the distribution of singular value, it is noise reduction order to take and level off to that layer of asymptotic value at first m'。
Data acquisition device sample frequency is 200kHz in the step Step1.
The principle of the method described in the present invention is:
When DC transmission system breaks down, the transient characterisitics of inverter side DC current signal have very big mutation, profit Illustrated with bipolar DC system as shown in Figure 1.Wherein, F1、F2、F3、F4Respectively inverter side AC system generation three connects Ground short circuit, AB line to line fault, AB line to line fault ground connection and A phase earth faults cause the trouble point of commutation failure, F5For inverter side Converter power transformer secondary side voltage landing causes commutation failure.When above-mentioned fault type occurs, inverter side DC current Signal has different degrees of mutation, and particularly its frequency has very big mutation, can be using this characteristic come compartment system Whether break down;For line short and commutation failure both fault types, they except having frequency size variation Outside, the difference of frequency amplitude change is also had, therefore fault type can be distinguished with this characteristic.Because using HHT algorithms when, End effect generation is had in EMD decomposable processes, influences accuracy of detection.Therefore the present invention needs the DC current signal to collection Pre-processed, suppress the generation of end effect.
SVD filtering techniques be using signal and otherness of the noise on energy, will contain noisy matrix pass through it is unusual It is worth resolution process, therefore noise filtering, and can either be kept the original characteristic of signal by SVD wave filters.During the 5ms that will be taken The DC current signal of window carries out phase-model transformation, takes 1 mold component to carry out 50 layers of phase space reconfiguration, and time delayses constant is set to 1, will Matrix after reconstruct carries out SVD decomposition, and according to the distribution of singular value, it is noise reduction order to take and level off to that layer of asymptotic value at first M', so failure F1、F2、F3、F4、F5Noise reduction order be chosen for 3.1 mold component of DC current signal is sent into SVD wave filters Middle its corresponding m' ranks noise reduction process of progress, extracts the signal sequence after noise reduction.Shape filtering technology is using pre-defined Structural element treat process signal and matched or local correction, and the phase and amplitude of original signal will not be caused to change Become, handled using flat-structure element g=[0 000 0] extraction noise reduction postamble sequences, because of the high fdrequency component of signal Out of order principal character can be embodied, therefore extracts data of the high fdrequency component d after shape filtering as next step analysis.And And line fault and commutation failure failure are Comparatively speaking, its high frequency metamorphosis amplitude is more violent.
This high fdrequency component d is carried out into empirical modal (EMD) to decompose, limited individual intrinsic mode function (IMF) component is obtained, carries Take first IMF component signal to carry out Hilbert transform, because first IMF component contain the highest frequency of fault-signal into Point, can more embody the fault signatures of various failures, therefore a demand of the invention go out IMF1 components instantaneous frequency and amplitude i.e. Can.During system jam, whether line short fault or commutation failure failure, the instantaneous frequency of first IMF component Can uprush, can with this come compartment system whether normal operation.And during line short fault, first IMF component of DC current Instantaneous frequency amplitude average integrally than commutation failure when it is larger, therefore the amplitude average value size of first IMF component is more The difference of commutation failure and line short fault can be embodied, the step of carrying out HHT conversion to the high fdrequency component d of extraction is as follows:
(1) high fdrequency component d carries out EMD decomposition, and extraction contains up to the IMF1 components of frequency component.
(2) Hilbert transform is carried out to first IMF component, tries to achieve the instantaneous frequency and amplitude of first IMF component, Extract its maximum f and amplitude average value A.
(3) by f, A and predetermined threshold value f0、A0Compare, if f >=f0, the faulty generation of system, and then judge A >=A0Whether Set up, if set up, judge that failure is line short fault, if invalid, failure judgement type is commutation failure.
In the extra high voltage direct current transmission line non unit transient protection schematic diagram shown in Fig. 1, two-terminal direct current transmission system master To be made up of converting plant, DC power transmission line (label 7) and Inverter Station.
Direct-current transmission converter station is made up of basic convertor unit, mainly includes converter power transformer 2, transverter I 3, flat ripple Reactor 5, DC filter 6 and DC power transmission line 7.It is the two-terminal DC transmission system engineering that can carry out anti-power delivery, if From the power transmission of AC system 1 of the AC system 1 in left side to the right, then current conversion station (two, the left side converter power transformer 2, two in left side The individual smoothing reactor 5, two of transverter I 3, two DC filter 6 forms) it is converting plant, current conversion station (two, the right side on right side 5, two DC filters 6 of smoothing reactor of transverter II 4, two of converter power transformer 2, two form) it is Inverter Station;Work as power Anti- when sending, then (two, the right side transverter II 4, two of converter power transformer 2, two smoothing reactor 5, two is straight for right side current conversion station Stream wave filter 6 forms) it is converting plant, (transverter I 3, two of converter power transformer 2, two flat ripple in two, left side is electric for left side current conversion station Anti- 5, two DC filters 6 of device form) it is Inverter Station.I.e. the AC system 1 at both ends can be used as sending end or conduct Receiving end, when power is just sent, they are provided to rectifier (left side converter power transformer 2) and inverter (right side converter power transformer 2) Commutation voltage;When anti-power delivery, they give rectifier (right side converter power transformer 2) and inverter (left side converter power transformer 2) Commutation voltage is provided, creates the condition for realizing the change of current.Power supply of the sending end power system as direct current transportation simultaneously, there is provided transmission Power, and receiving-end system receives and dissolved the power sent by direct current transportation then equivalent to load.
Smoothing reactor 5, DC filter 6 and the border for forming DC power transmission line;7 be DC power transmission line, is utilized Positive and negative polarities wire is connected with the positive and negative polarities of both ends current conversion station, forms the closed loop of DC side;Two-terminal-grounding electrode systems institute The ground return circuit of formation, can be as the standby wire of transmission system.
The beneficial effects of the invention are as follows:
1st, compared with proposing minimum turn-off angle diagnostic method and minimum voltage drop method at present, methods presented herein solves line When transition resistance of the road through certain numerical value occurs short-circuit, cause minimum turn-off angle less than decision bits commutation failure when limiting minimum value The problem of;
When the 2nd, being analyzed using Digital Signal Processing it, such as wavelet analysis technology, grey relational grade etc., but Be wavelet analysis has intercrossing in frequency band division, using also being needed by judging minimum turn-off in advance during grey relational grade The numerical value at angle, it is not very high to cause it to diagnose accuracy.Hilbert-Huang transform as a kind of new method of time frequency analysis, it There is adaptivity on non-linear, non-stationary signal is handled, it is more accurate in divided band, it can accurately extract and be out of order The frequency values of signal.
Brief description of the drawings
Fig. 1 is extra-high voltage direct-current transmission bipolar DC system;
Fig. 2 is the Troubleshooting Flowchart formed using the present invention;
The instantaneous frequency and amplitude of first IMF component of DC current signal when Fig. 3 is normal operation;
Fig. 4 is the instantaneous frequency and amplitude of first IMF component of short trouble DC current signal at circuit 100km;
Fig. 5 is the instantaneous frequency and amplitude of first IMF component of singlephase earth fault DC current signal;
Fig. 6 is the instantaneous frequency and amplitude of first IMF component of two-phase short-circuit fault DC current signal;
Fig. 7 is the instantaneous frequency and amplitude of first IMF component of line to line fault earth fault DC current signal;
Fig. 8 is the instantaneous frequency and amplitude of first IMF component of three-phase shortcircuit earth fault DC current signal;
Fig. 9 is the instantaneous frequency and width of first IMF component of DC current signal when converter power transformer no-load voltage ratio is 3.477 Value.
Each label in Fig. 1:1- AC systems, 2- converter power transformers, 3- transverters I, 4- transverters II, the flat ripple reactance of 5- Device, 6- DC filters, 7- DC power transmission lines.
Embodiment
Embodiment 1:As shown in figs 1-9, a kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults, the spy Commutation Failures In Hvdc Transmission Systems method for diagnosing faults comprises the following steps that:
After Step1, extra-high voltage DC transmission system break down, inverter side data acquisition device collection fault current traveling wave Fault current data after Mintrop wave head reaches during 5ms in window;
Step2, the current signal progress phase-model transformation by collection, extract its 1 modulus and carry out m layer phase space reconfigurations, obtain Matrix after to reconstruct;
Step3, singular value decomposition is carried out to the matrix after reconstruct, appropriate noise reduction is chosen according to the distribution trend of singular value Order m', noise reduction then is carried out to DC current signal;
Step4, the signal after noise reduction is sent into morphological filter, extraction high frequency form component d;
Step5, the high frequency form component progress HHT conversion by extraction, obtain the wink of first intrinsic mode function component When frequency maxima f and amplitude average value A;
Step6, setpoint frequency threshold value f0With amplitude average threshold A0
Step7, judge f >=f0Whether set up, if so, system jam, if not, then system normal operation; If f >=f0Establishment then subsequently determines that A >=A0Whether set up, if setting up phyletic line road short trouble, if not, it is then Commutation failure failure occurs for system.
In the step Step2, extract its 1 modulus and carry out m=50 layer phase space reconfigurations, wherein carrying out Space Reconstruction Time delayses constant is set to 1.
Embodiment 2:As shown in figs 1-9, a kind of extra-high voltage DC transmission system commutation failure method for diagnosing faults, the spy Commutation Failures In Hvdc Transmission Systems method for diagnosing faults comprises the following steps that:
After Step1, extra-high voltage DC transmission system break down, inverter side data acquisition device collection fault current traveling wave Fault current data after Mintrop wave head reaches during 5ms in window;
Step2, the current signal progress phase-model transformation by collection, extract its 1 modulus and carry out m layer phase space reconfigurations, obtain Matrix after to reconstruct;
Step3, singular value decomposition is carried out to the matrix after reconstruct, appropriate noise reduction is chosen according to the distribution trend of singular value Order m', noise reduction then is carried out to DC current signal;
Step4, the signal after noise reduction is sent into morphological filter, extraction high frequency form component d;
Step5, the high frequency form component progress HHT conversion by extraction, obtain the wink of first intrinsic mode function component When frequency maxima f and amplitude average value A;
Step6, setpoint frequency threshold value f0With amplitude average threshold A0
Step7, judge f >=f0Whether set up, if so, system jam, if not, then system normal operation; If f >=f0Establishment then subsequently determines that A >=A0Whether set up, if setting up phyletic line road short trouble, if not, it is then Commutation failure failure occurs for system.
In the step Step2, extract its 1 modulus and carry out m=50 layer phase space reconfigurations, wherein carrying out Space Reconstruction Time delayses constant is set to 1.
In the step Step3, according to the distribution of singular value, it is noise reduction order to take and level off to that layer of asymptotic value at first m'。
The present embodiment, which is specifically utilized in PSCAD/EMTDC, builds the wide ± 800kVUHVDC system actual parameter moulds of cloud In type, using it as simulation model.As shown in figure 1, the transmission line of electricity total length of the system is 1418km, voltage during normal operation It is as follows for 800kV, electric current 3.125kV, total installation of generating capacity 5000MW, the running status of specific the present embodiment experiment:
1)NS:Normal operating condition;
2)N:DC line short trouble occurs in 0.3s, and continues 100ms;
3) commutation failure causes because of inverter side fault in ac transmission system:
(1)F1:Single-phase earthing (AG), switching angle are 90 °, continue 100ms;
(2)F2:Line to line fault (AB), switching angle are 270 °, continue 100ms;
(3)F3:Line to line fault is grounded (ABG), and switching angle is 270 °, continues 100ms;
(4)F4:Three-phase ground (ABCG), occurs in 0.3s, continues 100ms.
4)F5:The increase of inverter side converter power transformer no-load voltage ratio causes commutation failure.
Extract Aerial mode component (the hereinafter referred to as DC current letter of inverter side DC current perunit value under different running statuses Number) it is data analysis amount, sample frequency 200kHz, since before failure 50 points, 1000 points of extraction is used as analyze data.
Signal Pretreatment:The current signal of collection is subjected to phase-model transformation, its 1 modulus is extracted and carries out m layer phase space weights Structure, the matrix after being reconstructed;
When empirical modal (EMD) decomposes, with the increase of decomposition scale, internal data of the end effect to useful signal Influence is also larger, has a strong impact on IMF data precision.Can effectively it be pressed down using singular value decomposition (SVD) filtering noise-eliminating method The generation of end effect processed, and EMD Decomposition orders can be reduced, improve the accuracy that EMD is decomposed.
SVD noise reductions order determines
The effect of SVD noise reductions output has very big relation with noise reduction order, and order is too low, may result in output waveform hair Raw distortion, order is too high, and signal can not obtain abundant noise reduction.Noise reduction order is determined according to singular value distribution curve:When unusual When value starts to tend to asymptotic value, then layering number is also optimal filtering order corresponding to this point.
To system running state NS, failure N, the direct current that trouble point is extracted away from rectification side 100km, F1, F2, F3, F4, F5 Flow signal and carry out phase space reconfiguration, the time delayses constant, τ of selection is 1, and Embedded dimensions m is 50.It is right using SVD decomposition principles Phase space matrix after reconstruct is decomposed to obtain the singular value of each layer, is existed for NS, F1, F2, F3, F4, F5 singular value Tend to asymptotic value at the 3rd layer, therefore for this 6 kinds of running statuses, optimal noise reduction order is 3 times, for failure N, optimal Noise reduction order is then chosen for 8 times.
According to above-mentioned identified filtering order, SVD filtering is carried out to the DC current signal of this 7 kinds of running statuses, from Output waveform finds out that SVD filtering eliminates noise contribution, maintains the essential characteristic of primary signal.
Shape filtering
The DC current signal extracted under different running statuses is through SVD noise reductions, the high frequency shape then extracted through shape filtering State component, the fluctuation of the DC current form high fdrequency component under different running statuses, which still has, to be made a big difference, particularly line Road short trouble N and the difference of other states are maximum.
The Hilbert of signal-Huang analysis
DC current signal recycles the high fdrequency component of shape filtering conversion extraction signal, by this after SVD noise reduction process High-frequency signal carries out EMD decomposition, can obtain limited individual IMF components, and Hilbert transform is carried out to first IMF component signal, And its instantaneous frequency and amplitude are extracted, because first IMF component contains the highest frequency component of fault-signal, more The fault signature of various failures can be embodied.Under system normal operation and various fault conditions, DC current fault-signal The instantaneous frequency of first IMF component and the oscillogram of amplitude are shown in Fig. 3~9.
Fault diagnosis
IMF1 components are first IMF component in figure it can be seen from Fig. 3~9, system at different operating conditions, The instantaneous amplitude and amplitude of first IMF component of DC current make a big difference.When system jam, first IMF The instantaneous frequency of component can uprush, as shown in Table 1, it may be considered that be judged with the instantaneous frequency maximum of first IMF component Whether system breaks down, setting peak frequency threshold value f0=60000Hz judges f >=f0Whether set up, if so, system occurs Failure, if not, then system normal operation;From Fig. 3~9, the instantaneous frequency average of first IMF component of DC current With amplitude average integrally than commutation failure when it is larger, comparatively speaking, the amplitude average value size of first IMF component more can The difference of commutation failure and line short fault is embodied, the amplitude average value threshold value A of first IMF component is set0=0.05. As f >=f0Set up, then judge A >=A0Whether set up, if setting up phyletic line road short trouble, if not, then system occurs Commutation failure failure.
Table 1 is the instantaneous frequency maximum (unit of first IMF component:Hz)
Under above-described fault condition, inverter side fault in ac transmission system and transformer voltage ratio increase are largely imitated Very, when finding three-phase ground failure, the critical grounding resistance that commutation failure does not occur for system is 274.5 Ω;For line to line fault Failure;The critical grounding resistance that commutation failure does not occur for system is 555.8 Ω, and for line to line fault earth fault, system is not sent out The critical grounding resistance of raw commutation failure is 198.2 Ω;For singlephase earth fault, its critical grounding resistance is 219.2 Ω; Inverter side converter power transformer no-load voltage ratio is increased to 3.477 from 3.271, commutation failure occurs for system.10 groups of each failures are extracted respectively The instantaneous frequency average value and amplitude average value of first IMF component of condition as amount of analysis, wherein:Line short fault N It is away from rectification side 400Km, 900Km, 1100Km to choose failure point occurs;For earth fault F1~F4, grounding resistance is set to 10 Ω, 60 Ω, 120 Ω, for failure F5, converter power transformer secondary side voltage increases to 149.5kV from 145.5kV, and step-length is 1kV, i.e. no-load voltage ratio increase to 3.697 from 3.477.
Three groups of data for extracting failure N, F1, F2, F3, F4, F5 respectively are verified that the result is as shown in table 2.
The experimental result of table 2
Experimental result shown in analytical table 2 is understood, when not breaking down, the instantaneous frequency maximum of first IMF component The frequency threshold of setting is all higher than, the amplitude average value of first IMF component is all higher than the amplitude of setting during line short fault Threshold value, and the amplitude average value of first IMF component is less than amplitude thresholds during commutation failure, can accurately determine commutation failure Failure and line short fault.
Above in conjunction with accompanying drawing to the present invention embodiment be explained in detail, but the present invention be not limited to it is above-mentioned Embodiment, can also be before present inventive concept not be departed from those of ordinary skill in the art's possessed knowledge Put that various changes can be made.

Claims (4)

  1. A kind of 1. extra-high voltage DC transmission system commutation failure method for diagnosing faults, it is characterised in that:The extra-high voltage direct-current is defeated Electric system commutation failure method for diagnosing faults comprises the following steps that:
    After Step1, extra-high voltage DC transmission system break down, inverter side data acquisition device collection fault current traveling wave Mintrop wave Fault current data after head reaches during 5ms in window;
    Step2, the fault current progress phase-model transformation by collection, extract its 1 modulus and carry out m layer phase space reconfigurations, obtain weight Matrix after structure;
    Step3, singular value decomposition is carried out to the matrix after reconstruct, appropriate noise reduction order is chosen according to the distribution trend of singular value M', noise reduction then is carried out to fault current;
    Step4, the signal after noise reduction is sent into morphological filter, extraction high frequency form component d;
    Step5, the high frequency form component progress HHT conversion by extraction, obtain the instantaneous frequency of first intrinsic mode function component Rate maximum f and amplitude average value A;
    Step6, setpoint frequency threshold value f0With amplitude average threshold A0
    Step7, judge f >=f0Whether set up, if so, system jam, if not, then system normal operation;If f ≥f0Establishment then subsequently determines that A >=A0Whether set up, if setting up phyletic line road short trouble, if not, then system occurs Commutation failure failure.
  2. 2. extra-high voltage DC transmission system commutation failure method for diagnosing faults according to claim 1, it is characterised in that:Institute State in step Step2, extract its 1 modulus and carry out m=50 layer phase space reconfigurations, wherein the time delayses for carrying out Space Reconstruction are normal Number is set to 1.
  3. 3. extra-high voltage DC transmission system commutation failure method for diagnosing faults according to claim 1, it is characterised in that:Institute State in step Step3, according to the distribution of singular value, it is noise reduction order m' to take and level off to that layer of asymptotic value at first.
  4. 4. extra-high voltage DC transmission system commutation failure method for diagnosing faults according to claim 1, it is characterised in that:Institute It is 200kHz to state data acquisition device sample frequency in step Step1.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291055A (en) * 2008-06-18 2008-10-22 昆明理工大学 Method for precisely marking arriving time of initial wave of fault generated traveling waves for electricity transmission line
CN101551433A (en) * 2009-05-05 2009-10-07 昆明理工大学 Distribution network feed out circuit fault circuit selection method by using HHT detection technology
TW201107771A (en) * 2009-08-18 2011-03-01 Ancad Inc Analysis method and analysis system
CN102156042A (en) * 2011-03-18 2011-08-17 北京工业大学 Gear fault diagnosis method based on signal multi-characteristic matching
CN102506995A (en) * 2011-11-22 2012-06-20 中国建筑材料科学研究总院 Vibration signal processing method based on HHT (Hilbert-Huang Transformation) and related analyses
CN103592569A (en) * 2013-11-06 2014-02-19 昆明理工大学 Extra-high voltage direct-current transmission line fault location method based on high frequency value attenuation characteristics
CN203759149U (en) * 2014-01-08 2014-08-06 中国南方电网有限责任公司超高压输电公司检修试验中心 Apparatus for determining commutation failure of high-voltage DC transmission project
CN104614640A (en) * 2014-12-26 2015-05-13 四川大学 Method for detecting phase change failure of high-voltage direct-current power transmission system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3680152B2 (en) * 1995-10-31 2005-08-10 九州電力株式会社 Power line monitoring device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291055A (en) * 2008-06-18 2008-10-22 昆明理工大学 Method for precisely marking arriving time of initial wave of fault generated traveling waves for electricity transmission line
CN101551433A (en) * 2009-05-05 2009-10-07 昆明理工大学 Distribution network feed out circuit fault circuit selection method by using HHT detection technology
TW201107771A (en) * 2009-08-18 2011-03-01 Ancad Inc Analysis method and analysis system
CN102156042A (en) * 2011-03-18 2011-08-17 北京工业大学 Gear fault diagnosis method based on signal multi-characteristic matching
CN102506995A (en) * 2011-11-22 2012-06-20 中国建筑材料科学研究总院 Vibration signal processing method based on HHT (Hilbert-Huang Transformation) and related analyses
CN103592569A (en) * 2013-11-06 2014-02-19 昆明理工大学 Extra-high voltage direct-current transmission line fault location method based on high frequency value attenuation characteristics
CN203759149U (en) * 2014-01-08 2014-08-06 中国南方电网有限责任公司超高压输电公司检修试验中心 Apparatus for determining commutation failure of high-voltage DC transmission project
CN104614640A (en) * 2014-12-26 2015-05-13 四川大学 Method for detecting phase change failure of high-voltage direct-current power transmission system

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