CN106680585B - Harmonic wave/m-Acetyl chlorophosphonazo detection method - Google Patents

Harmonic wave/m-Acetyl chlorophosphonazo detection method Download PDF

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CN106680585B
CN106680585B CN201710007253.5A CN201710007253A CN106680585B CN 106680585 B CN106680585 B CN 106680585B CN 201710007253 A CN201710007253 A CN 201710007253A CN 106680585 B CN106680585 B CN 106680585B
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harmonic wave
acetyl chlorophosphonazo
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杜正聪
朱家龙
祝俊
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Panzhihua University
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/16Spectrum analysis; Fourier analysis
    • G01R23/165Spectrum analysis; Fourier analysis using filters

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Abstract

The present invention relates to harmonic wave/m-Acetyl chlorophosphonazo detection methods, comprising: signal is divided into different channels by A., and adjacent channel 50% is overlapped, and is extracted to harmonic wave/m-Acetyl chlorophosphonazo of channel output and M times of convolution of corresponding filter;B. the frequency spectrum of the output after extracting to harmonic wave/M times of m-Acetyl chlorophosphonazo carries out windowed FFT;C. power spectrum is calculated;D. power spectrum is scanned for, if its maximum value is greater than noise power, the road Ze Gai signal is harmonic wave/m-Acetyl chlorophosphonazo, otherwise the road is noise;E. amplitude is greatly real channel where harmonic wave/m-Acetyl chlorophosphonazo in adjacent channel;F. approximate calculation is done to the point near power spectrum maximum value, the amplitude, initial phase and frequency of channel after being corrected, and export.The present invention can be to the harmonic wave being divided into different channels/m-Acetyl chlorophosphonazo parallel processing, hence it is evident that improves the real-time and Parameter Estimation Precision of detection, and algorithm is simple, operand is small, it is easy to accomplish.

Description

Harmonic wave/m-Acetyl chlorophosphonazo detection method
Technical field
The present invention relates to harmonic wave/m-Acetyl chlorophosphonazo detection methods.
Background technique
With the extensive use of electric power, electronic device, the problem of harmonic wave and m-Acetyl chlorophosphonazo distort, is got worse.The source of harmonic wave Mainly include two classes: traditional non-linear device (such as transformer, electric arc furnaces) and modern power electronic non-linear device are (such as brilliant lock Pipe, fluorescent lamp etc.).The source of m-Acetyl chlorophosphonazo mainly includes two classes: frequency converter and periodic transformation load.A certain amount of harmonic wave/ M-Acetyl chlorophosphonazo can cause great harm power grid and user, specifically include that generate additional energy loss, influence insulation conditions, Shorten equipment life, interference is generated to protective relaying device, measuring instrumentss and precision equipment, causes malfunction and measurement error Deng.
Harmonic wave/m-Acetyl chlorophosphonazo parameter is quick, to accurately measure be the key factor solved the problems, such as, and realizes optimal compensation dress The prerequisite set.Currently, the detection method of harmonic wave/m-Acetyl chlorophosphonazo is broadly divided into two classes: imparametrization and parametrization both at home and abroad.It is non- Parametric method mainly has: Fast Fourier Transform (FFT), instantaneous reactive power theory, artificial neural network and wavelet transformation.Wherein Fourier transformation function is more, convenience of calculation, but there are spectrum leakages and hurdle effect to influence detection accuracy;Instantaneous reactive power reason It is preferable by real-time, but be not easy to frequency analysis;Artificial neural network has self-learning capability, but is not easy to hardware realization; Wavelet transformation real-time and dynamic property are preferable, but high frequency section frequency discrimination is low and needs to search out suitable wavelet function. Parametric method mainly has: auto-regressive moving-average model Power estimation method (ARMA, auto-regressive and moving ) and Prony method average.Auto-regressive moving-average model Power estimation method can improve frequency resolution, but its significantly Precision is to AR model order and noise-sensitive;The characteristic quantity that Prony method can directly extract signal is analyzed, but calculation amount Greatly and to noise-sensitive.Therefore it needs to design a kind of method, can be improved processing capability in real time, reach fast to harmonic wave/monochromatic wave The purpose of speed detection, is easily achieved simultaneously.
Summary of the invention
The present invention provides a kind of detection methods of harmonic wave/m-Acetyl chlorophosphonazo, by reducing every path channels detection algorithm complexity The real-time of harmonic wave/monochromatic wave detection is improved, while keeping high high-precision, and be easily achieved.
Harmonic wave/m-Acetyl chlorophosphonazo detection method of the invention, comprising:
A. channelizing designs:, will be in input signal by the filter group being made of the filter of different center frequency Harmonic wave/m-Acetyl chlorophosphonazo and noise are divided into the channel of K different frequency range.Due to harmonic wave/m-Acetyl chlorophosphonazo uncertainty, may fall Enter the junction of adjacent channel, therefore the channel architecture being overlapped using adjacent channel 50%, it in this way can be to avoid harmonic wave/m-Acetyl chlorophosphonazo There is the case where missing inspection and distortion at filter skirt in place.The output of kth path channels be the channel harmonic wave/m-Acetyl chlorophosphonazo with The convolution of corresponding filterWherein s [n-m] is Convolution Formula Fixation expression formula, n be input signal discrete point, N be kth path channels in harmonic wave/m-Acetyl chlorophosphonazo number, hk[m] is kth road The unit impact response of channel model,Wherein j is complex exponential, the filter of kth path channels The centre frequency of wave device is ωk=2 π k/K, h0For the unit impact response of the 0th path channels filter;To the convolution yk[n] into M times of row is extracted, and the convolution y is madekThe bandwidth of [n] is -2 π of π M/K≤ω≤2 M/K;
B. Fourier transform: kth path channels output N number of harmonic wave/m-Acetyl chlorophosphonazo beWherein Ak, fk,Harmonic wave/m-Acetyl chlorophosphonazo amplitude, frequency and the initial phase of different frequency respectively in k path channels, m=n/K are M times and take out Sequence expression formula after taking;Pass through the output y' after extracting to harmonic wave/M times of m-Acetyl chlorophosphonazokThe frequency spectrum of [m] carries out the change of adding window Fourier It changes, obtains corresponding frequency fk[m]=y'k[m] w [m], and then obtain frequency fkThe unilateral frequency spectrum of [m] are as follows:
Window function used herein is hanning window, it has preferable frequency resolution and inhibits the energy of spectrum leakage Power.
C. it calculates power spectrum: enabling power spectrum G (f)=[Fk(f)]2, it obtains:
F is the frequency of entire channel;
D. spectrum peak search: power spectrum G (f) is scanned for, its maximum value is found outBy maximum valueWith Noise power compares, if maximum valueGreater than noise power, the road Ze Gai signal is harmonic wave/m-Acetyl chlorophosphonazo, continue to Lower execution, on the contrary the road signal is noise, is terminated after direct output parameter;
E. channel judges: for comparing harmonics present/m-Acetyl chlorophosphonazo in the amplitude of adjacent channel, the big channel of amplitude is harmonic wave/m-Acetyl chlorophosphonazo The real channel at place;
F. parameters revision: the channel of division is more, it is meant that has more number of samples, will lead to Fourier transform (FFT) Operand increase.In the case where not increasing channel and FFT counts, Parameter Estimation Precision is improved by parameter correction.Institute Stating the corresponding frequency of the spectral peak searched in power spectrum G (f) is harmonic wave/m-Acetyl chlorophosphonazo frequency, but due to hurdle effect, spectral peak Corresponding frequencyWith actual fkThere are a certain amount of offsets.Therefore the corresponding frequency of spectral peak that step D is obtained is setAnd reality The frequency f on borderkBetween offset be Δ i, to maximum valueNeighbouring point does approximate calculation, revised by obtaining FrequencyThe amplitude of k channel is after being corrected For the theoretical value of power spectrum, KtFor energetic coefficient of restitution;Initial phase isR (f) is signal Real part, I (f) are the imaginary part of signal;By the revised frequency fk, amplitude AkAnd initial phaseOutput.
Further, in order to further increase real-time, the channelizing part of step A is carried out to point of multiphase filtering framework Solution: by by the unit impact response h of the 0th path channels filter0It is obtained through z-transform (a kind of method that z-transform is linear analysis) It arrivesThe unit impact response of kth path channels filter is obtained into H through z-transformk[z]=H0[e-j2πk/ KZ], obtain harmonic wave/m-Acetyl chlorophosphonazo of the output of kth path channels and the convolution y of corresponding filterkThe z-transform of [n] isIndicate first of E [z], S [z] is the expression formula after z-transform;Again to the convolution Y after the z-transformk[z] carries out M times and extracts, and then to described in step B N number of harmonic wave/m-Acetyl chlorophosphonazo y' of kth path channels outputk[m] progress z-transform obtains corresponding:
Then to Y 'k[z] carries out the windowed FFT, and wherein IDFT is inverse discrete Fourier transform.Above formula In IDFT operation can with IFFT (inverse fast Fourier transform) operation substitute.And above formula is equivalent to a M times of extraction and is put into Front end executes, and detection process entire in this way is carried out under 1/M times of input data rate, is reduced and is wanted to processing speed It asks, to improve processing capability in real time.In addition, above formula is also equivalent to carry out K times to filter coefficient to extract, then in 2 times Zero insertion, so the filter order of every path channels is reduced to D/M, to reduce accumulated error, hence it is evident that improve precision.
On this basis, to the analysis method of the noise power are as follows: the signal-to-noise ratio after channelizing isWherein AiFor harmonic wave/m-Acetyl chlorophosphonazo amplitude, K is channel quantity,For the variance of noise, hk [n] is the unit impact response of kth path channels filter, by the Signal to Noise Ratio (SNR) after the channelizingoutFourier transform obtains Transformed signal-to-noise ratioD is the order of filter, and M is the multiple that harmonic wave/monochromatic wave extracts, and N is institute Harmonic wave/m-Acetyl chlorophosphonazo number in the channel, and then obtain noise powerIt follows that channelizing Noise after harmonic wave/m-Acetyl chlorophosphonazo is attenuatedTimes, noise is effectively reduced to harmonic wave/monochromatic wave detection interference, and And harmonic wave/m-Acetyl chlorophosphonazo except channel is also filtered, to will not interfere with each other, influences signal detection and parameter Estimation.
Preferably, to the convolution y in step AkAfter [n] carries out M times of extraction, convolution y is obtainedkThe bandwidth of [n] is -2 π M/K The π M/K of≤ω≤2, aliasing then makes 2 π M/K≤π in order to prevent, and therefore, M≤K/2 obtains M=K/2.
Through simulation analysis and compare, the detection method of harmonic wave/m-Acetyl chlorophosphonazo of the present invention, it can be to being divided into different channels Harmonic wave/m-Acetyl chlorophosphonazo parallel processing, hence it is evident that improve the real-time and Parameter Estimation Precision of detection, and algorithm is simple, operand It is small, it is easy to accomplish.
Specific embodiment with reference to embodiments is described in further detail above content of the invention again. But the range that this should not be interpreted as to the above-mentioned theme of the present invention is only limitted to example below.Think not departing from the above-mentioned technology of the present invention In the case of thinking, the various replacements or change made according to ordinary skill knowledge and customary means should all be included in this hair In bright range.
Detailed description of the invention
Fig. 1 is the flow chart of the detection method of harmonic wave/m-Acetyl chlorophosphonazo of the present invention.
Specific embodiment
The detection method of harmonic wave/m-Acetyl chlorophosphonazo of the present invention as shown in Figure 1, comprising:
A. channelizing designs:, will be in input signal by the filter group being made of the filter of different center frequency Harmonic wave/m-Acetyl chlorophosphonazo and noise are divided into the channel of K different frequency range.FIR filter is adopted in the present embodiment (has the punching of limit for length's unit Swash response filter).The unit impact response of D rank low-pass filter are as follows: h0[n]={ h [0] ... h [D-1] }, others filtering Device can be generated by the low-pass filter frequency displacement.The centre frequency of the filter of kth path channels in K path channels structure are as follows: ωk =2 π k/K, the unit impact response of bandpass filter are as follows:The passband boundary of filter Frequency is ωp=π/K;Stopband edge frequency is ωs=2 π/K.Frequency existsHarmonic wave and m-Acetyl chlorophosphonazo It will fall into kth path channels.
Due to harmonic wave/m-Acetyl chlorophosphonazo uncertainty, the junction of adjacent channel may be fallen into, therefore uses adjacent channel , in this way can be to avoid at filter skirt, there are the feelings of missing inspection and distortion at harmonic wave/m-Acetyl chlorophosphonazo in the channel architecture of 50% overlapping Condition.The output of kth path channels is harmonic wave/m-Acetyl chlorophosphonazo of the channel and the convolution of corresponding filterWherein s [n-m] is the fixation expression formula of Convolution Formula, and n is input letter Number discrete point, N be kth path channels in harmonic wave/m-Acetyl chlorophosphonazo number, hk[m] is that the unit impact of kth path channels filter is rung It answers,Wherein j is complex exponential, and the centre frequency of kth path channels filter is ωk=2 π K/K, h0For the unit impact response of the 0th path channels filter;By above-mentioned Convolution Formula it is found that filter group can be equivalent to add Window Short Time Fourier Transform (STFT): hk[n]=w [- n] ej(2πkn/K), wherein n=m × K, m are the sequence expression after M times of extraction Formula, w [n] are window function, and the window function in the present embodiment uses hanning window.Filter order Wherein RpFor the passband fluctuation factor, RsFor stopband insertion loss, Btr(=π/K) it is intermediate zone.
To above-mentioned h0Z-transform is carried out, is obtainedL indicates one Numberical range enablesek[n] is filter coefficient, is indicated are as follows:
It can be by above-mentioned H0(z) it is rewritten asBy H known to the property of z-transformkH is obtained after carrying out z-transformk[z]=H0[e-j2πk/KZ], z is the z in z-transform.Therefore the convolution yk The z-transform of [n] are as follows:Table Show first of E [z], S [z] is the expression formula after z-transform.
To the convolution yk[n] carries out the M times of y' exported after extractingk[m] (=yk[Mn]) z-transform, it obtains:
Due to the convolution ykThe bandwidth of [n] is -2 π M/K of π M/K≤ω≤2, in order to prevent aliasing then 2 π M/K≤π, because This M≤K/2, M=K/2 in the present embodiment.Therefore K/M=2, is substituted into above-mentioned Y 'kIn [z] expression formula, E is obtainedl(zK/Me-j2πmK/M)=El(z2) then:
Wherein IDFT is inverse discrete Fourier transform.Detection process entire so be all under 1/M times of input data rate into Row, reduces the requirement to processing speed, to improve processing capability in real time.In addition, above formula is also equivalent to filter system Number carries out K times and extracts, then zero insertion in 2 times, so the filter order of every path channels is reduced to D/M, to reduce tired Product error, hence it is evident that improve precision.
B. Fourier transform: kth path channels output N number of harmonic wave/m-Acetyl chlorophosphonazo beWherein Ak, fk,Harmonic wave/m-Acetyl chlorophosphonazo amplitude, frequency and the initial phase of different frequency, m=n/K respectively in k path channels;By right Output y' after harmonic wave/M times of m-Acetyl chlorophosphonazo extractionkThe frequency spectrum of [m] carries out windowed FFT, obtains corresponding frequency fk[m]= y'k[m] w [m], and then obtain frequency fkThe unilateral frequency spectrum of [m] are as follows:This is implemented The frequency spectrum modular function of hanning window function used in exampleBring above-mentioned F intok(f) it in, obtains:
C. it calculates power spectrum: enabling power spectrum G (f)=[Fk(f)]2, it obtains:
F is the frequency of entire channel;
D. spectrum peak search: power spectrum G (f) is scanned for, its maximum value is found outBy maximum valueWith Noise power compares, if maximum valueGreater than noise power, the road Ze Gai signal is harmonic wave/m-Acetyl chlorophosphonazo, continue to Lower execution, on the contrary the road signal is noise, is terminated after direct output parameter;
The wherein judgment method of noise power are as follows: harmonic wave/m-Acetyl chlorophosphonazo signal-to-noise ratio of input isWherein Ai For harmonic wave/m-Acetyl chlorophosphonazo amplitude,For the variance of noise.The filter output on kth road can be expressed as yk[n]=yks[n]+ y[n], wherein yks[n] is that harmonic wave/monochromatic wave individually generates when stablizing, output response are as follows:
fiFor i-th of harmonic wave/monochromatic wave frequency.
y[n] is what noise individually generated, is zero-mean gaussian coloured noise, its variance after wave filter are as follows:
Since the output of harmonic wave is complex signal, the half output in filter is independent, the then signal-to-noise ratio after channelizing ForWherein K is channel quantity, hk[n] is the unit impact response of kth path channels filter, From the above equation, we can see that the noise after channelizing is attenuated K/2 times.
By the Signal to Noise Ratio (SNR) after the channelizingoutFourier transform.It is extracted due to having carried out M times to harmonic wave/monochromatic wave, Then with filter convolution, therefore sampling number becomes (N+D)/M in every path channels, and D is the order of filter, and N is that place is believed Harmonic wave/m-Acetyl chlorophosphonazo number in road, it may be assumed that
For harmonic wave/m-Acetyl chlorophosphonazo initial phase, fsFor sampling frequency Rate.It enables: δ=fk/fs- k, when signal frequency is near FFT spectral line, the amplitude of signal are as follows:
Since FFT is linear transformation, white Gaussian noise ω [n] Still Gaussian distributed, FFT transform areVariance are as follows:
Thus the signal-to-noise ratio after obtaining Fourier transform are as follows:And then obtain noise power
E. channel judges: for comparing harmonics present/m-Acetyl chlorophosphonazo in the amplitude of adjacent channel, the big channel of amplitude is harmonic wave/m-Acetyl chlorophosphonazo The real channel at place;
F. parameters revision: the channel of division is more, it is meant that has more number of samples, will lead to Fourier transform (FFT) Operand increase.In the case where not increasing channel and FFT counts, Parameter Estimation Precision is improved by parameter correction.Institute Stating the corresponding frequency of the spectral peak searched in power spectrum G (f) is harmonic wave/m-Acetyl chlorophosphonazo frequency, but due to hurdle effect, spectral peak Corresponding frequencyWith actual fkThere are a certain amount of offsets.Therefore the corresponding frequency of spectral peak that step D is obtained is setAnd reality The frequency f on borderkBetween offset be Δ i, to maximum valueNeighbouring point does approximate calculation, then has:
Revised normalized frequency are as follows:Sampling number in channel is N/K, and the frequency resolution of each channel is (fsK)/N, school Harmonic frequency after just are as follows:Wherein fok(=fsIt k/K is) every path channels Centre frequency.By Paasche Wa Er theorem it is found thatIt is the theoretical value of power spectrum.If energetic coefficient of restitution is Kt, school Amplitude after just isInitial phase isR (f) is the reality of signal Portion, I (f) are the imaginary part of signal, then revised initial phase isBy the revised frequency Rate fk, amplitude AkAnd initial phaseOutput.

Claims (4)

1. harmonic wave/m-Acetyl chlorophosphonazo detection method, feature include:
A. channelizing designs: by the filter group being made of the filter of different center frequency, by the harmonic wave in input signal/ M-Acetyl chlorophosphonazo and noise are divided into the channel of K different frequency range, and the channel architecture being overlapped using adjacent channel 50%, kth The output of path channels is harmonic wave/m-Acetyl chlorophosphonazo of the channel and the convolution of corresponding filterWherein s [n-m] is the fixation expression formula of Convolution Formula, and n is input letter Number discrete point, N be kth path channels in harmonic wave/m-Acetyl chlorophosphonazo number, hk[m] is that the unit impact of kth path channels filter is rung It answers,Wherein j is complex exponential, and the centre frequency of kth path channels filter is ωk=2 π K/K, h0For the unit impact response of the 0th path channels filter;To the convolution yk[n] carries out M times and extracts, and makes the convolution yk The bandwidth of [n] is -2 π of π M/K≤ω≤2 M/K;
B. Fourier transform: kth path channels output N number of harmonic wave/m-Acetyl chlorophosphonazo beWherein Ak, fk,Harmonic wave/m-Acetyl chlorophosphonazo amplitude, frequency and the initial phase of different frequency respectively in k path channels, m=n/K are M times and extract Sequence expression formula afterwards;Pass through the output y' after extracting to harmonic wave/M times of m-Acetyl chlorophosphonazokThe frequency spectrum of [m] carries out the change of adding window Fourier It changes, obtains corresponding frequency fk[m]=y'k[m] w [m], w [m] are window function, and then obtain frequency fkThe unilateral frequency spectrum of [m] Are as follows:
C. it calculates power spectrum: enabling power spectrum G (f)=[Fk(f)]2, it obtains:
F is the frequency of entire channel;
D. spectrum peak search: power spectrum G (f) is scanned for, its maximum value is found outBy maximum valueWith noise Power compares, if maximum valueGreater than noise power, the road Ze Gai signal is harmonic wave/m-Acetyl chlorophosphonazo, and continuation is held downwards Row, on the contrary the road signal is noise, is terminated after direct output parameter;
E. channel judges: for comparing harmonics present/m-Acetyl chlorophosphonazo in the amplitude of adjacent channel, the big channel of amplitude is harmonic wave/m-Acetyl chlorophosphonazo place Real channel;
F. parameters revision: the corresponding frequency of the spectral peak that step D is obtainedWith actual frequency fkBetween offset be Δ i, to most Big valueNeighbouring point does approximate calculation, by obtaining revised frequencyIt is repaired The amplitude of k channel is after just For the theoretical value of power spectrum, KtFor energy restorer Number;Initial phase isR (f) is the real part of signal, and I (f) is the imaginary part of signal;By the amendment Frequency f afterwardsk, amplitude AkAnd initial phaseOutput.
2. the detection method of harmonic wave/m-Acetyl chlorophosphonazo as described in claim 1, it is characterized in that: it include multiphase filtering framework in step A Decomposition: by by the unit impact response h of the 0th path channels filter0It is obtained through z-transformBy kth The unit impact response of path channels filter obtains H through z-transformk[z]=H0[e-j2πk/KZ], obtain the output of kth path channels The convolution y of harmonic wave/m-Acetyl chlorophosphonazo and corresponding filterkThe z-transform of [n] is It indicates first of E [z], S [z] is the expression formula after z-transform;Again to the z-transform Convolution Y afterwardsk[z] carries out M times and extracts, and then to N number of harmonic wave/m-Acetyl chlorophosphonazo y' of the output of kth path channels described in step Bk[m] Progress z-transform obtains corresponding:
Then to Y 'k[z] carries out the windowed FFT, and wherein IDFT is inverse discrete Fourier transform.
3. the detection method of harmonic wave/m-Acetyl chlorophosphonazo as claimed in claim 1 or 2, it is characterized in that: the signal-to-noise ratio after channelizing isWherein AiFor harmonic wave/m-Acetyl chlorophosphonazo amplitude, K is channel quantity,For the variance of noise, hk [n] is the unit impact response of kth path channels filter, by the Signal to Noise Ratio (SNR) after the channelizingoutFourier transform obtains Transformed signal-to-noise ratioD is the order of filter, and M is the multiple that harmonic wave/monochromatic wave extracts, and N is institute Harmonic wave/m-Acetyl chlorophosphonazo number in the channel, and then obtain noise power
4. the detection method of harmonic wave/m-Acetyl chlorophosphonazo as claimed in claim 1 or 2, it is characterized in that: to the convolution y in step Ak [n] carries out M times and extracts, wherein M=K/2.
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